Running ‘testthat.R’ [25s/39s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(exprso)
  Loading required package: kernlab
  
  Attaching package: 'exprso'
  
  The following object is masked from 'package:testthat':
  
      compare
  
  > 
  > test_check("exprso")
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0    5
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      10    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
    acc      sens spec
  1 0.9 0.9333333  0.8
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    1
    Case          1   14
  Performing a one-vs-all binary task with class 1 set as "Case".
  Performing a one-vs-all binary task with class 2 set as "Case".
  Performing a one-vs-all binary task with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    8
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 8 0 0
          2 0 8 0
          3 0 0 8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0   12
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    2
    Case          0    0
      acc sens spec
  1 0.875    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  2  0  0
          2  0 12  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Performing a one-vs-all binary task with class 1 set as "Case".
  Performing a one-vs-all binary task with class 2 set as "Case".
  Performing a one-vs-all binary task with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Calculating accuracy using ROCR based on prediction probabilities...
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Calculating accuracy using ROCR based on prediction probabilities...
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Calculating accuracy using ROCR based on prediction probabilities...
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    8
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 8 0 0
          2 0 8 0
          3 0 0 8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 8 0 0
          2 0 8 0
          3 0 0 8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0   12
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    2
    Case          0    0
      acc sens spec
  1 0.875    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  2  0  0
          2  0 12  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  2  0  0
          2  0 12  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 0.003417514
  	Annotation class: 0.03389485
  	Annotation sex: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 0.003417514
  	Annotation class: 0.03389485
  	Annotation sex: 1
  ## Making internal comparisons for second object (across 'colBy' column)...
  	Annotation id: 0.0001718613
  	Annotation class: 0.003892417
  	Annotation sex: 1
  ## Making comparisons between objects (independent of 'colBy' column)...
  	Annotation id: 0.7756773
  	Annotation class: 1
  	Annotation sex: 1
  	Annotation defineCase: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 0.003417514
  	Annotation class: 0.03389485
  	Annotation sex: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 0.003417514
  	Annotation class: 0.03389485
  	Annotation sex: 1
  ## Making internal comparisons for second object (across 'colBy' column)...
  	Annotation id: 0.0001718613
  	Annotation class: 0.003892417
  	Annotation sex: 1
  ## Making comparisons between objects (independent of 'colBy' column)...
  	Annotation id: 0.7756773
  	Annotation class: 1
  	Annotation sex: 1
  	Annotation defineCase: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 6.761776e-05
  	Annotation class: 7.987476e-05
  	Annotation sex: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 6.761776e-05
  	Annotation class: 7.987476e-05
  	Annotation sex: 1
  ## Making internal comparisons for second object (across 'colBy' column)...
  	Annotation id: 2.825182e-05
  	Annotation class: 7.987476e-05
  	Annotation sex: 1
  ## Making comparisons between objects (independent of 'colBy' column)...
  	Annotation id: 0.8307678
  	Annotation class: 1
  	Annotation sex: 0.3990752
  	Annotation defineCase: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 6.761776e-05
  	Annotation class: 7.987476e-05
  	Annotation sex: 1
  ## Making internal comparisons for first object (across 'colBy' column)...
  	Annotation id: 6.761776e-05
  	Annotation class: 7.987476e-05
  	Annotation sex: 1
  ## Making internal comparisons for second object (across 'colBy' column)...
  	Annotation id: 2.825182e-05
  	Annotation class: 7.987476e-05
  	Annotation sex: 1
  ## Making comparisons between objects (independent of 'colBy' column)...
  	Annotation id: 0.8307678
  	Annotation class: 1
  	Annotation sex: 0.3990752
  	Annotation defineCase: 1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3   11
    Case          2    4
     acc      sens spec
  1 0.35 0.2666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Ensemble classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2   11
    Case          3    4
    acc      sens spec
  1 0.3 0.2666667  0.4
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Ensemble classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Ensemble classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  Ensemble classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    2
    Case          2   13
    acc      sens spec
  1 0.8 0.8666667  0.6
  ── 1. Error: top argument to fs ExprsBinary method works (@test-fs-etc.R#44)  ──
  no slot of name "theta" for this object of class "propd"
  1: expect_equal(rownames(fsPropd(array, top = 0)@exprs), c("feat1", "feat4", "feat2", 
         "feat3")) at testthat/test-fs-etc.R:44
  2: quasi_label(enquo(object), label)
  3: eval_bare(get_expr(quo), get_env(quo))
  4: rownames(fsPropd(array, top = 0)@exprs)
  5: fsPropd(array, top = 0)
  6: fs.(object, top, uniqueFx = function(data, outcome, top, ...) {
         pd <- suppressMessages(propr::propd(data, outcome))
         pd@theta <- pd@theta[order(pd@theta$theta), ]
         nrows <- nrow(pd@theta)
         index <- floor(seq(1, nrows + 0.5, 0.5))
         odds <- as.logical(1:(nrows * 2)%%2)
         index[odds] <- index[odds] + nrows
         join <- c(pd@theta$Partner, pd@theta$Pair)
         join <- join[index]
         rankedfeats <- unique(join)
         top[rankedfeats]
     }, keep, ...)
  7: do.call("uniqueFx", list(data, outcome, top, ...))
  8: uniqueFx(structure(c(9.30201206092797, 8.71514614427586, 10.9899590137434, 10.1117758333271, 
     10.1142076713604, 11.6981965237813, 10.0478456194536, 10.6548624098871, 11.3652836694846, 
     10.4025729624239, 20.8326701689944, 13.6602665321695, 21.1381624678139, 19.8930075742253, 
     18.1816488379125, 20.5783404851814, 15.0870932023476, 21.8567822596395, 23.7864042939987, 
     36.7308758687785, 21.5727293925374, 9.92397193880195, 20.9434020134737, 20.2577261269441, 
     28.055830244116, 29.7156206996418, 21.7011126796753, 18.5951205566957, 18.614600531215, 
     16.7101773959679, 15.2981693521604, 25.4248194710445, 16.249215334674, 17.8915361502101, 
     15.8841203275027, 22.0635016812445, 23.066487902315, 17.7303040466921, 16.6688582244656, 
     21.58273262575, 10.7668483505733, 9.98400658225293, 10.0609866649071, 8.60003402966402, 
     10.4308292486415, 10.5410214934004, 8.36073184231346, 10.6118352723894, 9.58268325503455, 
     9.79609702320126, 10.1630866023135, 10.5254633928093, 9.9643009908017, 11.0037694526903, 
     9.82896490003709, 10.4388315878089, 9.10334078650936, 9.54293194204127, 9.67032794582403, 
     9.24278302775479, 4.9991134936548, 3.0053198903531, 6.20874970848625, 4.52339324768806, 
     5.55469180891305, 4.65292440151324, 4.4686450402252, 4.98570139870427, 3.8010363810516, 
     5.23161160379608, 5.28743088229579, 6.22396589370986, 5.4936555897002, 5.30492255091447, 
     2.98847656537697, 6.28625036051702, 5.44054888711238, 5.90363765699222, 5.81327407676517, 
     3.45638868263808, 3.25753759749348, 5.19853849784887, 5.38191675697408, 5.18925255003965, 
     5.59677935901829, 6.29990765768336, 3.2926275285756, 7.21732252599817, 7.12024555954716, 
     4.22947835667449, 38.6973900620003, 38.6259110929053, 42.2317652537654, 39.5014273127082, 
     41.7146139230509, 41.0193309904538, 40.4322231400511, 40.100719985181, 37.5048994065836, 
     42.0014645041951, 22.6498941909652, 20.1487215794444, 20.3908171528459, 18.751209910122, 
     20.9235880301164, 20.5895677898068, 17.9210687663397, 20.4552290526562, 20.7578592598593, 
     19.7373820493561, 19.5874332214639, 20.1529755360675, 19.273373699704, 19.3670966065747, 
     18.6526182762839, 20.4588890794851, 20.8111016280137, 18.8899629651284, 20.9265253977414, 
     21.5523105058412), .Dim = c(30L, 4L), .Dimnames = list(c("X1", "X2", "X3", "X4", 
     "X5", "X6", "X7", "X8", "X9", "X10", "X11", "X12", "X13", "X14", "X15", "X16", "X17", 
     "X18", "X19", "X20", "X21", "X22", "X23", "X24", "X25", "X26", "X27", "X28", "X29", 
     "X30"), c("feat1", "feat2", "feat3", "feat4"))), c("Control", "Control", "Control", 
     "Control", "Control", "Control", "Control", "Control", "Control", "Control", "Case", 
     "Case", "Case", "Case", "Case", "Case", "Case", "Case", "Case", "Case", "Case", "Case", 
     "Case", "Case", "Case", "Case", "Case", "Case", "Case", "Case"), c("feat1", "feat2", 
     "feat3", "feat4"))
  
  [1] "Preparing data for binary classification."
  [1] "Converting binary labels to CONTROL / CASE."
  [1] "CONTROL: setosa (override with 'switch')"
  [1] "Preparing data for multi-class classification."
  [1] "Preparing data for regression."
  Performing a one-vs-all binary task with class 1 set as "Case".
  Performing a one-vs-all binary task with class 2 set as "Case".
  Performing a one-vs-all binary task with class 3 set as "Case".
  Setting 'k' to '2' (default behavior, override explicitly)...
  Setting 'metric' to 'euclidean' (default behavior, override explicitly)...
  Setting 'p' to '2' (default behavior, override explicitly)...
  Calculating dissimilarity matrix using 'metric' and 'p' arguments...
  Updating ExprsArray object...
  Setting 'centers' to '2' (default behavior, override explicitly)...
  Updating ExprsArray object...
  Updating ExprsArray object...
  Updating ExprsArray object...
  Setting 'k' to '2' (default behavior, override explicitly)...
  Updating ExprsArray object...
  Setting 'k' to '2' (default behavior, override explicitly)...
  Updating ExprsArray object...
  Setting 'k' to '2' (default behavior, override explicitly)...
  Setting 'metric' to 'euclidean' (default behavior, override explicitly)...
  Setting 'p' to '2' (default behavior, override explicitly)...
  Calculating dissimilarity matrix using 'metric' and 'p' arguments...
  Updating ExprsArray object...
  Setting 'k' to '2' (default behavior, override explicitly)...
  Updating ExprsArray object...
  |------------(25%)----------(50%)----------(75%)----------|
  Averaging best accuracies across all boots...
  |------------(25%)----------(50%)----------(75%)----------|
  Averaging best accuracies across all boots...
  |------------(25%)----------(50%)----------(75%)----------|
  |------------(25%)----------(50%)----------(75%)----------|
  Averaging best accuracies across all folds...
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Calculating accuracy using ROCR based on prediction probabilities...
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       5    0
    Case          0   15
    acc sens spec
  1   1    1    1
  Calculating accuracy using ROCR based on prediction probabilities...
  Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 0
          3 0 0 6
  Class 1 performance (acc, sens, spec): 0.952380952380952, 1, 0.928571428571429 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.952380952380952, 0.857142857142857, 1 
  Total accuracy of ExprsModule: 0.952381 
         acc
  1 0.952381
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 0
          3 0 0 6
  Class 1 performance (acc, sens, spec): 0.952380952380952, 1, 0.928571428571429 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.952380952380952, 0.857142857142857, 1 
  Total accuracy of ExprsModule: 0.952381 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          2    3
          acc sens  spec
  1 0.8947368    1 0.875
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    1
    Case          0    2
          acc      sens spec
  1 0.9473684 0.6666667    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  1
          2  0 13  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 0.947368421052632, 1, 0.9375 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.947368421052632, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.9473684 
          acc
  1 0.9473684
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  1
          2  0 13  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 0.947368421052632, 1, 0.9375 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.947368421052632, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.9473684 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      12    7
    Case          2    0
          acc sens      spec
  1 0.5714286    0 0.8571429
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 1
          3 0 0 5
  Class 1 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.904761904761905, 0.714285714285714, 1 
  Total accuracy of ExprsModule: 0.9047619 
          acc
  1 0.9047619
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 1
          3 0 0 5
  Class 1 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.904761904761905, 0.714285714285714, 1 
  Total accuracy of ExprsModule: 0.9047619 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      12    1
    Case          4    2
          acc      sens spec
  1 0.7368421 0.6666667 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    1
    Case          0   12
          acc      sens spec
  1 0.9473684 0.9230769    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          2    3
          acc sens  spec
  1 0.8947368    1 0.875
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    1
    Case          0   12
          acc      sens spec
  1 0.9473684 0.9230769    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    2
    Case          0    1
          acc      sens spec
  1 0.8947368 0.3333333    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 0
          3 0 0 6
  Class 1 performance (acc, sens, spec): 0.952380952380952, 1, 0.928571428571429 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.952380952380952, 0.857142857142857, 1 
  Total accuracy of ExprsModule: 0.952381 
         acc
  1 0.952381
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 0
          3 0 0 6
  Class 1 performance (acc, sens, spec): 0.952380952380952, 1, 0.928571428571429 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.952380952380952, 0.857142857142857, 1 
  Total accuracy of ExprsModule: 0.952381 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          2    3
          acc sens  spec
  1 0.8947368    1 0.875
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    1
    Case          0    2
          acc      sens spec
  1 0.9473684 0.6666667    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  1
          2  0 13  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 0.947368421052632, 1, 0.9375 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.947368421052632, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.9473684 
          acc
  1 0.9473684
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  1
          2  0 13  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 0.947368421052632, 1, 0.9375 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.947368421052632, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.9473684 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      12    7
    Case          2    0
          acc sens      spec
  1 0.5714286    0 0.8571429
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 1
          3 0 0 5
  Class 1 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.904761904761905, 0.714285714285714, 1 
  Total accuracy of ExprsModule: 0.9047619 
          acc
  1 0.9047619
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 1
          3 0 0 5
  Class 1 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.904761904761905, 0.714285714285714, 1 
  Total accuracy of ExprsModule: 0.9047619 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      12    1
    Case          4    2
          acc      sens spec
  1 0.7368421 0.6666667 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    1
    Case          0   12
          acc      sens spec
  1 0.9473684 0.9230769    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          2    3
          acc sens  spec
  1 0.8947368    1 0.875
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    1
    Case          0   12
          acc      sens spec
  1 0.9473684 0.9230769    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    2
    Case          0    1
          acc      sens spec
  1 0.8947368 0.3333333    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  |------------(25%)----------(50%)----------(75%)----------|
  Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 0
          3 0 0 6
  Class 1 performance (acc, sens, spec): 0.952380952380952, 1, 0.928571428571429 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.952380952380952, 0.857142857142857, 1 
  Total accuracy of ExprsModule: 0.952381 
         acc
  1 0.952381
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 0
          3 0 0 6
  Class 1 performance (acc, sens, spec): 0.952380952380952, 1, 0.928571428571429 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.952380952380952, 0.857142857142857, 1 
  Total accuracy of ExprsModule: 0.952381 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          2    3
          acc sens  spec
  1 0.8947368    1 0.875
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    1
    Case          0    2
          acc      sens spec
  1 0.9473684 0.6666667    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  1
          2  0 13  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 0.947368421052632, 1, 0.9375 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.947368421052632, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.9473684 
          acc
  1 0.9473684
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  1
          2  0 13  0
          3  0  0  2
  Class 1 performance (acc, sens, spec): 0.947368421052632, 1, 0.9375 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.947368421052632, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.9473684 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      12    7
    Case          2    0
          acc sens      spec
  1 0.5714286    0 0.8571429
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 1
          3 0 0 5
  Class 1 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.904761904761905, 0.714285714285714, 1 
  Total accuracy of ExprsModule: 0.9047619 
          acc
  1 0.9047619
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 1
          2 0 7 1
          3 0 0 5
  Class 1 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.95, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.904761904761905, 0.714285714285714, 1 
  Total accuracy of ExprsModule: 0.9047619 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    0
    Case          0   13
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      12    1
    Case          4    2
          acc      sens spec
  1 0.7368421 0.6666667 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  0
          2  0 13  0
          3  0  0  3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    7
    Case          0    0
          acc sens spec
  1 0.6666667    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      15    0
    Case          1    3
          acc sens   spec
  1 0.9473684    1 0.9375
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    1
    Case          0   12
          acc      sens spec
  1 0.9473684 0.9230769    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    3
    Case          0    0
          acc sens spec
  1 0.8421053    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 7 0 0
          2 0 7 0
          3 0 0 7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      14    0
    Case          2    3
          acc sens  spec
  1 0.8947368    1 0.875
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       6    1
    Case          0   12
          acc      sens spec
  1 0.9473684 0.9230769    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    2
    Case          0    1
          acc      sens spec
  1 0.8947368 0.3333333    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
          acc
  1 0.8947368
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  3  0  2
          2  0 13  0
          3  0  0  1
  Class 1 performance (acc, sens, spec): 0.894736842105263, 1, 0.875 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.894736842105263, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.8947368 
  |-----Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  1
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.944444444444444 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  1
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.944444444444444 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  1
          2  0 18  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 0.972222222222222, 1, 0.964285714285714 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  1
          2  0 18  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 0.972222222222222, 1, 0.964285714285714 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      25    0
    Case          1   10
          acc sens      spec
  1 0.9722222    1 0.9615385
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      25    0
    Case          1   10
          acc sens      spec
  1 0.9722222    1 0.9615385
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 18  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 2 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  ----Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    1
    Case          0    9
          acc sens spec
  1 0.9722222  0.9    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      25    0
    Case          1   10
          acc sens      spec
  1 0.9722222    1 0.9615385
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      25    0
    Case          1   10
          acc sens      spec
  1 0.9722222    1 0.9615385
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  ---(25%)-Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          1    9
          acc sens     spec
  1 0.9722222    1 0.962963
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    3
    Case          0    6
          acc      sens spec
  1 0.9166667 0.6666667    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  ----Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  1
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.95 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  1
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.95 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    4
    Case          0    6
          acc sens spec
  1 0.8888889  0.6    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  1
          2  0 16  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 0.972222222222222, 1, 0.961538461538462 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  1
          2  0 16  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 0.972222222222222, 1, 0.961538461538462 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      25    0
    Case          1   10
          acc sens      spec
  1 0.9722222    1 0.9615385
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          1    0
     acc sens spec
  1 0.75    0 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    1
    Case          0    3
     acc sens spec
  1 0.75 0.75    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          2    0
    acc sens spec
  1 0.5    0  0.5
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 1 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 0.75, NaN 
  Class 3 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 1 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 0.75, NaN 
  Class 3 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    4
    Case          0    6
          acc sens spec
  1 0.8888889  0.6    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 4 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, NaN 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    0
    Case          0    4
    acc sens spec
  1   1    1    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          1    0
     acc sens spec
  1 0.75    0 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 1 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 0.75, NaN 
  Class 3 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 1 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 0.75, NaN 
  Class 3 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      20    0
    Case          0   16
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 16  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       0    2
    Case          0    2
    acc sens spec
  1 0.5  0.5    0
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          2    0
    acc sens spec
  1 0.5    0  0.5
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 1 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 0.75, NaN 
  Class 3 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 1 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 0.75, NaN 
  Class 3 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Total accuracy of ExprsModule: 0.75 
  ----Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    7
    Case          0    0
          acc sens spec
  1 0.8055556    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  1
          2  0 20  3
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.96969696969697, 1, 0.958333333333333 
  Class 2 performance (acc, sens, spec): 0.914285714285714, 1, 0.8 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.428571428571429, 1 
  Total accuracy of ExprsModule: 0.8888889 
          acc
  1 0.8888889
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  1
          2  0 20  3
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.96969696969697, 1, 0.958333333333333 
  Class 2 performance (acc, sens, spec): 0.914285714285714, 1, 0.8 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.428571428571429, 1 
  Total accuracy of ExprsModule: 0.8888889 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    3
    Case          0    0
     acc sens spec
  1 0.25    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 1
          2 0 0 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 1
          2 0 0 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    7
    Case          0    0
          acc sens spec
  1 0.8055556    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  2
          2  0 20  2
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.941176470588235, 1, 0.92 
  Class 2 performance (acc, sens, spec): 0.941176470588235, 1, 0.857142857142857 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.428571428571429, 1 
  Total accuracy of ExprsModule: 0.8888889 
          acc
  1 0.8888889
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  2
          2  0 20  2
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.941176470588235, 1, 0.92 
  Class 2 performance (acc, sens, spec): 0.941176470588235, 1, 0.857142857142857 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.428571428571429, 1 
  Total accuracy of ExprsModule: 0.8888889 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          2    1
    acc sens      spec
  1 0.5    1 0.3333333
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    3
    Case          0    0
     acc sens spec
  1 0.25    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 2
          2 0 0 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 0.5, 1, 0.333333333333333 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 0.5, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.5 
    acc
  1 0.5
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 2
          2 0 0 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 0.5, 1, 0.333333333333333 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 0.5, 0.333333333333333, 1 
  Total accuracy of ExprsModule: 0.5 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    7
    Case          0    0
          acc sens spec
  1 0.8055556    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  3
          2  0 20  1
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.914285714285714, 1, 0.884615384615385 
  Class 2 performance (acc, sens, spec): 0.96969696969697, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.428571428571429, 1 
  Total accuracy of ExprsModule: 0.8888889 
          acc
  1 0.8888889
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  3
          2  0 20  1
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.914285714285714, 1, 0.884615384615385 
  Class 2 performance (acc, sens, spec): 0.96969696969697, 1, 0.923076923076923 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.428571428571429, 1 
  Total accuracy of ExprsModule: 0.8888889 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          2    1
    acc sens      spec
  1 0.5    1 0.3333333
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    3
    Case          0    0
     acc sens spec
  1 0.25    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 2
          2 0 0 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 0.333333333333333, 1, 0 
  Class 2 performance (acc, sens, spec): 0.5, NaN, 0.5 
  Class 3 performance (acc, sens, spec): 0.25, 0, 1 
  Total accuracy of ExprsModule: 0.25 
     acc
  1 0.25
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 2
          2 0 0 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 0.333333333333333, 1, 0 
  Class 2 performance (acc, sens, spec): 0.5, NaN, 0.5 
  Class 3 performance (acc, sens, spec): 0.25, 0, 1 
  Total accuracy of ExprsModule: 0.25 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    2
    Case          0    5
          acc      sens spec
  1 0.9444444 0.7142857    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          1    1
     acc sens      spec
  1 0.75    1 0.6666667
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    1
    Case          0    2
     acc      sens spec
  1 0.75 0.6666667    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 1
          2 0 0 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 1
          2 0 0 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.666666666666667, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          1    7
          acc sens      spec
  1 0.9722222    1 0.9655172
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          1    1
     acc sens      spec
  1 0.75    1 0.6666667
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      16    0
    Case          0   20
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      29    0
    Case          0    7
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 20  0
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          1    1
     acc sens      spec
  1 0.75    1 0.6666667
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 0 0
          3 0 0 3
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, NaN, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  -(50%)---Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 1
          2 0 1 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 0.75, 1, 0.5 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 1
          2 0 1 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 0.75, 1, 0.5 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          1    9
          acc sens     spec
  1 0.9722222    1 0.962963
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    1
    Case          0    8
          acc      sens spec
  1 0.9722222 0.8888889    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  8  0  0
          2  0 19  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 2 0 0
          2 0 1 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  ----Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    8
    Case          0    0
          acc sens spec
  1 0.7777778    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  1
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.944444444444444 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.875, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  1
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.944444444444444 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.875, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    2
    Case          0    0
    acc sens spec
  1 0.5    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 1
          2 0 2 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.5, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 1
          2 0 2 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.5, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    8
    Case          0    0
          acc sens spec
  1 0.7777778    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  1
          2  0 18  4
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.96875, 1, 0.954545454545455 
  Class 2 performance (acc, sens, spec): 0.885714285714286, 1, 0.764705882352941 
  Class 3 performance (acc, sens, spec): 0.861111111111111, 0.375, 1 
  Total accuracy of ExprsModule: 0.8611111 
          acc
  1 0.8611111
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  1
          2  0 18  4
          3  0  0  3
  Class 1 performance (acc, sens, spec): 0.96875, 1, 0.954545454545455 
  Class 2 performance (acc, sens, spec): 0.885714285714286, 1, 0.764705882352941 
  Class 3 performance (acc, sens, spec): 0.861111111111111, 0.375, 1 
  Total accuracy of ExprsModule: 0.8611111 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    2
    Case          0    0
    acc sens spec
  1 0.5    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 1
          2 0 2 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 0.666666666666667, NaN, 0.666666666666667 
  Class 2 performance (acc, sens, spec): 0.666666666666667, 1, 0 
  Class 3 performance (acc, sens, spec): 0.5, 0, 1 
  Total accuracy of ExprsModule: 0.5 
    acc
  1 0.5
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 1
          2 0 2 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 0.666666666666667, NaN, 0.666666666666667 
  Class 2 performance (acc, sens, spec): 0.666666666666667, 1, 0 
  Class 3 performance (acc, sens, spec): 0.5, 0, 1 
  Total accuracy of ExprsModule: 0.5 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    8
    Case          0    0
          acc sens spec
  1 0.7777778    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  1
          2  0 18  1
          3  0  0  6
  Class 1 performance (acc, sens, spec): 0.971428571428571, 1, 0.96 
  Class 2 performance (acc, sens, spec): 0.971428571428571, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.944444444444444, 0.75, 1 
  Total accuracy of ExprsModule: 0.9444444 
          acc
  1 0.9444444
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  1
          2  0 18  1
          3  0  0  6
  Class 1 performance (acc, sens, spec): 0.971428571428571, 1, 0.96 
  Class 2 performance (acc, sens, spec): 0.971428571428571, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.944444444444444, 0.75, 1 
  Total accuracy of ExprsModule: 0.9444444 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    2
    Case          0    0
    acc sens spec
  1 0.5    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 1
          2 0 2 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.5, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 1
          2 0 2 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 0.75, NaN, 0.75 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 0.75, 0.5, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          1    8
          acc sens      spec
  1 0.9722222    1 0.9642857
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    2
    Case          0    6
          acc sens spec
  1 0.9444444 0.75    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    1
    Case          0    1
     acc sens spec
  1 0.75  0.5    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      18    0
    Case          0   18
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 18  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 2 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  ---(75%)-Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    8
    Case          0    0
          acc sens spec
  1 0.7777778    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  2
          2  0 19  1
          3  0  0  5
  Class 1 performance (acc, sens, spec): 0.942857142857143, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.970588235294118, 1, 0.933333333333333 
  Class 3 performance (acc, sens, spec): 0.916666666666667, 0.625, 1 
  Total accuracy of ExprsModule: 0.9166667 
          acc
  1 0.9166667
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  2
          2  0 19  1
          3  0  0  5
  Class 1 performance (acc, sens, spec): 0.942857142857143, 1, 0.923076923076923 
  Class 2 performance (acc, sens, spec): 0.970588235294118, 1, 0.933333333333333 
  Class 3 performance (acc, sens, spec): 0.916666666666667, 0.625, 1 
  Total accuracy of ExprsModule: 0.9166667 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    2
    Case          0    0
    acc sens spec
  1 0.5    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 1
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0.5, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 1
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0.666666666666667 
  Class 3 performance (acc, sens, spec): 0.75, 0.5, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    8
    Case          0    0
          acc sens spec
  1 0.7777778    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  3
          2  0 19  1
          3  0  0  4
  Class 1 performance (acc, sens, spec): 0.914285714285714, 1, 0.884615384615385 
  Class 2 performance (acc, sens, spec): 0.96969696969697, 1, 0.928571428571429 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.5, 1 
  Total accuracy of ExprsModule: 0.8888889 
          acc
  1 0.8888889
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  3
          2  0 19  1
          3  0  0  4
  Class 1 performance (acc, sens, spec): 0.914285714285714, 1, 0.884615384615385 
  Class 2 performance (acc, sens, spec): 0.96969696969697, 1, 0.928571428571429 
  Class 3 performance (acc, sens, spec): 0.888888888888889, 0.5, 1 
  Total accuracy of ExprsModule: 0.8888889 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    2
    Case          0    0
    acc sens spec
  1 0.5    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    8
    Case          0    0
          acc sens spec
  1 0.7777778    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  1
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.875, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  1
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.875, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    2
    Case          0    0
    acc sens spec
  1 0.5    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    1
    Case          1    7
          acc  sens      spec
  1 0.9444444 0.875 0.9642857
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  1
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.875, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  1
          3  0  0  7
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.941176470588235 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.875, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          1    8
          acc sens      spec
  1 0.9722222    1 0.9642857
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          1    8
          acc sens      spec
  1 0.9722222    1 0.9642857
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      17    0
    Case          0   19
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      28    0
    Case          0    8
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 19  0
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       2    0
    Case          0    2
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 1 0
          3 0 0 2
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  ----Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    9
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    4
    Case          0    5
          acc      sens spec
  1 0.8888889 0.5555556    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    1
    Case          0    8
          acc      sens spec
  1 0.9722222 0.8888889    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    3
    Case          0    6
          acc      sens spec
  1 0.9166667 0.6666667    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.947368421052632 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  1
          3  0  0  8
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.947368421052632 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.888888888888889, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    1
    Case          0    0
     acc sens spec
  1 0.75    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
     acc
  1 0.75
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 1
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 0.75, 1, 0 
  Class 3 performance (acc, sens, spec): 0.75, 0, 1 
  Total accuracy of ExprsModule: 0.75 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1 10  0  0
          2  0 17  0
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 0 0 0
          2 0 3 0
          3 0 0 1
  Class 1 performance (acc, sens, spec): 1, NaN, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  -----|
  Now building machine at gridpoint:
    top kernel gamma cost
  1   2 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  2   3 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  3   0 linear    NA    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26   10
    Case          0    0
          acc sens spec
  1 0.7222222    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  1
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.947368421052632 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
          acc
  1 0.9722222
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  1
          3  0  0  9
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 0.972222222222222, 1, 0.947368421052632 
  Class 3 performance (acc, sens, spec): 0.972222222222222, 0.9, 1 
  Total accuracy of ExprsModule: 0.9722222 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  4   2 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          1    0
     acc sens spec
  1 0.75    0 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  5   3 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          1    0
     acc sens spec
  1 0.75    0 0.75
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
    top kernel gamma cost
  6   0 radial   0.1    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  10   2 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  11   3 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  Now building machine at gridpoint:
     top kernel gamma cost
  12   0 radial   0.2    1
  Performing one-vs-all feature selection with class 1 set as "Case".
  Performing one-vs-all classification with class 1 set as "Case".
  Performing one-vs-all feature selection with class 2 set as "Case".
  Performing one-vs-all classification with class 2 set as "Case".
  Performing one-vs-all feature selection with class 3 set as "Case".
  Performing one-vs-all classification with class 3 set as "Case".
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      27    0
    Case          0    9
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      19    0
    Case          0   17
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control      26    0
    Case          0   10
    acc sens spec
  1   1    1    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted  1  2  3
          1  9  0  0
          2  0 17  0
          3  0  0 10
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, 1, 1 
  Total accuracy of ExprsModule: 1 
  Performing a one-vs-all ExprsMachine prediction with class 1 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       3    0
    Case          0    1
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 2 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       1    0
    Case          0    3
    acc sens spec
  1   1    1    1
  Performing a one-vs-all ExprsMachine prediction with class 3 set as "Case".
  Individual classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted Control Case
    Control       4    0
    Case          0    0
    acc sens spec
  1   1    0    1
  Multi-class classifier performance:
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
    acc
  1   1
  Arguments not provided in an ROCR AUC format. Calculating accuracy outside of ROCR...
  Classification confusion table:
           actual
  predicted 1 2 3
          1 1 0 0
          2 0 3 0
          3 0 0 0
  Class 1 performance (acc, sens, spec): 1, 1, 1 
  Class 2 performance (acc, sens, spec): 1, 1, 1 
  Class 3 performance (acc, sens, spec): 1, NaN, 1 
  Total accuracy of ExprsModule: 1 
  [1] "Preparing data for regression."
  Continuous outcome performance:
  Total accuracy of RegrsModel: 0.6349206 
          acc   mse      rmse  mae
  1 0.6349206 0.575 0.7582875 0.69
  Continuous outcome performance:
  Total accuracy of RegrsModel: 0.9644895 
          acc        mse      rmse       mae
  1 0.9644895 0.03681797 0.1918801 0.1350445
  Continuous outcome performance:
  Total accuracy of RegrsModel: 0.9644895 
          acc        mse      rmse       mae
  1 0.9644895 0.03681797 0.1918801 0.1350445
  Continuous outcome performance:
  Total accuracy of RegrsModel: 0.9601805 
          acc       mse      rmse       mae
  1 0.9601805 0.0414708 0.2036438 0.1448472
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 166 SKIPPED: 0 FAILED: 1
  1. Error: top argument to fs ExprsBinary method works (@test-fs-etc.R#44) 
  
  Error: testthat unit tests failed
  Execution halted