Running ‘testthat.R’ [199s/315s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library(checkmate)
  +   library(testthat)
  +   library(mlr3)
  + 
  +   test_check("mlr3")
  + }
  ── 1. Error: log to text file (@test_lgr.R#10)  ────────────────────────────────
  attempt to apply non-function
  
  DEBUG [21:51:40.427] Skip subsetting of task 'iris' 
  DEBUG [21:51:40.565] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:40.623] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:51:40.655] Skip subsetting of task 'iris' 
  DEBUG [21:51:40.668] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:40.691] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:40.878] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]}
  DEBUG [21:51:40.888] Calling train method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:40.907] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:51:41.089] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}
  DEBUG [21:51:41.104] Calling predict method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:41.123] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:41.558] Running resample() via future with 1 iterations 
  INFO  [21:51:41.610] Applying learner 'classif.debug' on task 'iris' (iter 1/1) 
  DEBUG [21:51:41.629] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [147, 85, 104, 94, 41, 129, 72, 46, 63, 88, 146, 9, 136, 134, 28, 48, 67, 135, 36, 150, 103, 77, 112, 12, 33, 8, 101, 5, 124, 80, 83, 53, 21, 58, 15, 137, 40, 30, 139, 79, 54, 38, 73, 144, 145, 1, 57, 42, 64, 76, 118, 45, 71, 11, 29, 96, 56..]}
  DEBUG [21:51:41.645] Calling train method of Learner 'classif.debug' on task 'iris' with 100 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:41.672] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:51:41.679] Creating Prediction for predict set 'test' 
  DEBUG [21:51:41.692] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 10, 14, 16, 18, 19, 23, 24, 25, 27, 31, 34, 37, 39, 47, 49, 51, 55, 59, 61, 62, 66, 68, 75, 81, 82, 86, 93, 95, 97, 99, 100, 106, 107, 108, 111, 113, 114, 115, 117, 119, 120, 123, 128, 130, 131, 138, 140, 142, 149]}
  DEBUG [21:51:41.706] Calling predict method of Learner 'classif.debug' on task 'iris' with 50 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:41.735] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:41.998] Skip subsetting of task 'iris' 
  DEBUG [21:51:42.009] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:42.030] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:51:42.061] Skip subsetting of task 'iris' 
  DEBUG [21:51:42.068] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:42.088] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:42.195] Skip subsetting of task 'iris' 
  DEBUG [21:51:42.201] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:42.214] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:51:42.232] Skip subsetting of task 'iris' 
  DEBUG [21:51:42.239] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:51:42.251] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:43.512] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:43.519] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.536] Learner 'classif.featureless:response' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:43.557] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:43.562] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.580] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:43.613] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:43.620] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.637] Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:43.656] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:43.663] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.680] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:43.714] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:43.720] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.737] Learner 'classif.featureless:response' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:43.757] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:43.764] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.781] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:43.812] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:43.826] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.858] Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:43.894] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:43.904] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:43.931] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:43.983] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:43.993] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.022] Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.053] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:44.063] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.083] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.115] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:44.123] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.140] Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.157] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:44.163] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.180] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.210] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [21:51:44.216] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.238] Learner 'classif.featureless:response' on task 'feat_single_character_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.264] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [21:51:44.271] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.290] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.323] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [21:51:44.330] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.347] Learner 'classif.featureless:prob' on task 'feat_single_character_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.366] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [21:51:44.373] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.390] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.423] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:44.430] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.447] Learner 'classif.featureless:response' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.465] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:44.471] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.489] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.520] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:44.527] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.543] Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.561] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:44.601] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.629] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.673] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:44.681] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.705] Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.742] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:44.752] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.787] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.838] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:44.844] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.860] Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:44.878] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:44.884] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.906] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:44.957] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [21:51:44.966] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:44.990] Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:45.016] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [21:51:45.024] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.051] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:45.095] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [21:51:45.104] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.129] Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:45.155] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [21:51:45.170] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.202] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:45.269] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.281] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.307] Learner 'classif.featureless:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:45.341] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.352] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.380] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:45.432] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.445] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.469] Learner 'classif.featureless:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:45.510] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.528] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.566] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:45.647] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.660] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.692] Learner 'classif.featureless:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:45.734] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.745] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.768] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:45.798] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.804] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.819] Learner 'classif.featureless:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:45.836] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:45.842] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:45.865] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:45.930] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:45.943] Calling train method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.003] Learner 'classif.featureless:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:46.043] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:46.052] Calling predict method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.094] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:46.161] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:46.172] Calling train method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.235] Learner 'classif.featureless:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:46.283] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:46.299] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.355] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:46.413] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:46.426] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.470] Learner 'classif.featureless:response' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:46.517] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:46.529] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.573] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:46.621] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:46.634] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.677] Learner 'classif.featureless:prob' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:46.723] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:46.733] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.805] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:46.865] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:46.879] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:46.907] Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:46.940] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:46.962] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.011] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:47.072] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:47.080] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.110] Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:47.144] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:47.157] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.185] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:47.238] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:47.250] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.279] Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:47.309] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:47.319] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.345] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:47.395] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:47.407] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.432] Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:47.464] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:47.474] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.500] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:47.548] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:47.560] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.587] Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:47.614] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:47.624] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.650] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:47.694] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:47.703] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.729] Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:47.756] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:47.766] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.793] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:47.844] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [21:51:47.857] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.889] Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:47.925] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [21:51:47.940] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:47.972] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.006] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [21:51:48.012] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.030] Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.050] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [21:51:48.057] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.076] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.121] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:48.133] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.162] Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.203] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:48.216] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.258] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.322] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:48.331] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.363] Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.398] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:48.407] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.427] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.461] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:48.467] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.485] Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.517] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:48.527] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.557] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.608] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:48.615] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.632] Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.652] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:48.659] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.684] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.741] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [21:51:48.751] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.777] Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.803] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [21:51:48.810] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.843] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:48.887] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [21:51:48.899] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:48.929] Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:48.968] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [21:51:48.980] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.018] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.078] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.085] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.112] Learner 'classif.featureless:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.142] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.152] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.179] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.215] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.221] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.238] Learner 'classif.featureless:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.260] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.267] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.285] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.331] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.340] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.365] Learner 'classif.featureless:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.392] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.399] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.417] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.449] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.456] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.472] Learner 'classif.featureless:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.491] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:49.498] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.525] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.595] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:49.607] Calling train method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.645] Learner 'classif.featureless:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.674] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:49.680] Calling predict method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.717] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.765] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:49.771] Calling train method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.797] Learner 'classif.featureless:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.823] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:49.829] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.856] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:49.889] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:49.896] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.923] Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:49.953] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:49.960] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:49.989] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:50.021] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:50.028] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.055] Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:50.084] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:50.091] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.120] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:50.209] Skip subsetting of task 'iris' 
  DEBUG [21:51:50.216] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.228] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:50.247] Skip subsetting of task 'iris' 
  DEBUG [21:51:50.254] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.267] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:50.281] Skip subsetting of task 'iris' 
  DEBUG [21:51:50.287] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.301] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:50.391] Skip subsetting of task 'iris' 
  DEBUG [21:51:50.398] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.410] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:50.516] Skip subsetting of task 'iris' 
  DEBUG [21:51:50.524] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.538] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:50.616] Running resample() via future with 1 iterations 
  INFO  [21:51:50.669] Applying learner 'classif.featureless' on task 'wine' (iter 1/1) 
  DEBUG [21:51:50.686] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [131, 30, 9, 149, 7, 133, 158, 108, 165, 106, 137, 24, 100, 83, 23, 14, 155, 46, 113, 140, 89, 77, 138, 91, 109, 81, 95, 22, 144, 160, 125, 107, 112, 35, 122, 20, 168, 42, 84, 40, 174, 82, 62, 48, 11, 31, 156, 171, 99, 143, 116, 105, 70, 150..]}
  DEBUG [21:51:50.696] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.709] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:51:50.714] Creating Prediction for predict set 'test' 
  DEBUG [21:51:50.723] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 6, 10, 12, 16, 17, 21, 27, 36, 37, 38, 49, 51, 52, 55, 56, 59, 61, 63, 67, 68, 69, 71, 76, 78, 85, 86, 87, 88, 90, 92, 94, 96, 97, 102, 103, 104, 120, 121, 127, 128, 129, 134, 135, 136, 141, 142, 145, 152, 153, 157, 161, 163, 164, 166..]}
  DEBUG [21:51:50.733] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:51:50.747] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:50.752] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:51:52.058] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:52.065] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.095] Learner 'classif.rpart:response' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.154] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:52.165] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.194] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:52.261] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:52.270] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.304] Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.329] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [21:51:52.338] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.366] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:52.426] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:52.433] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.458] Learner 'classif.rpart:response' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.478] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:52.485] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.508] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:52.555] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:52.562] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.588] Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.607] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [21:51:52.614] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.636] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:52.681] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:52.688] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.713] Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.732] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:52.739] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.762] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:52.809] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:52.816] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.842] Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.861] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [21:51:52.868] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.893] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:52.941] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:52.948] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:52.974] Learner 'classif.rpart:response' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:52.993] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:52.999] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.023] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.068] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:53.074] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.100] Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.119] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [21:51:53.126] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.149] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.196] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:53.203] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.235] Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.254] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:53.261] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.284] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.330] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:53.336] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.361] Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.380] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [21:51:53.387] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.410] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.456] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.463] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.490] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.510] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.517] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.543] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.606] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.615] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.647] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.670] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.679] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.709] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.773] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.781] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.813] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.836] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.844] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.871] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:53.919] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.926] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:53.952] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:53.971] Skip subsetting of task 'feat_all_binary' 
  DEBUG [21:51:53.978] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.009] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:54.066] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:54.073] Calling train method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.111] Learner 'classif.rpart:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:54.139] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:54.146] Calling predict method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.186] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:54.240] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:54.248] Calling train method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.289] Learner 'classif.rpart:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:54.320] Skip subsetting of task 'missings_binary' 
  DEBUG [21:51:54.327] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.370] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:54.418] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:54.425] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.466] Learner 'classif.rpart:response' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:54.496] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:54.503] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.547] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:54.601] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:54.609] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.653] Learner 'classif.rpart:prob' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:54.682] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [21:51:54.690] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.735] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:54.784] Skip subsetting of task 'weights_binary' 
  DEBUG [21:51:54.790] Calling train method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.837] Learner 'classif.rpart:response' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:54.865] Skip subsetting of task 'weights_binary' 
  DEBUG [21:51:54.872] Calling predict method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:54.922] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:54.971] Skip subsetting of task 'weights_binary' 
  DEBUG [21:51:54.978] Calling train method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.031] Learner 'classif.rpart:prob' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:55.059] Skip subsetting of task 'weights_binary' 
  DEBUG [21:51:55.072] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.158] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:55.223] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:55.233] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.266] Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:55.293] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:55.302] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.330] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:55.394] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:55.402] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.434] Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:55.454] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [21:51:55.462] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.485] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:55.539] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:55.550] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.597] Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:55.637] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:55.649] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.692] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:55.762] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:55.770] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.795] Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:55.817] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [21:51:55.826] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:55.859] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:55.956] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:55.969] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.001] Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:56.020] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:56.027] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.050] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:56.100] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:56.111] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.164] Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:56.198] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [21:51:56.205] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.227] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:56.289] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:56.300] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.338] Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:56.365] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:56.377] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.403] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:56.447] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:56.453] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.477] Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:56.495] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [21:51:56.502] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.528] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:56.600] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:56.609] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.649] Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:56.668] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:56.674] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.697] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:56.740] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:56.747] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.772] Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:56.800] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [21:51:56.813] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.851] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:56.915] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:56.935] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:56.970] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:57.008] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.020] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.067] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:57.134] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.142] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.183] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:57.208] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.216] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.244] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:57.318] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.330] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.371] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:57.391] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.398] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.421] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:57.479] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.489] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.525] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:57.552] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [21:51:57.560] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.597] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:57.662] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:57.668] Calling train method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.704] Learner 'classif.rpart:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:57.728] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:57.734] Calling predict method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.772] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:57.815] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:57.821] Calling train method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.857] Learner 'classif.rpart:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:57.884] Skip subsetting of task 'missings_multiclass' 
  DEBUG [21:51:57.890] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:57.977] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:58.060] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:58.065] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:58.124] Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:58.161] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:58.167] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:58.204] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:58.247] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:58.256] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:58.315] Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:58.366] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [21:51:58.381] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:58.475] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:58.556] Skip subsetting of task 'weights_multiclass' 
  DEBUG [21:51:58.568] Calling train method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:58.647] Learner 'classif.rpart:response' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:58.689] Skip subsetting of task 'weights_multiclass' 
  DEBUG [21:51:58.697] Calling predict method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:58.766] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:58.883] Skip subsetting of task 'weights_multiclass' 
  DEBUG [21:51:58.899] Calling train method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.007] Learner 'classif.rpart:prob' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:59.071] Skip subsetting of task 'weights_multiclass' 
  DEBUG [21:51:59.087] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.183] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:59.265] Skip subsetting of task 'sanity' 
  DEBUG [21:51:59.277] Calling train method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.320] Learner 'classif.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:59.349] Skip subsetting of task 'sanity' 
  DEBUG [21:51:59.358] Calling predict method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.394] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:59.468] Skip subsetting of task 'sanity' 
  DEBUG [21:51:59.478] Calling train method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.529] Learner 'classif.rpart:prob' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:59.569] Skip subsetting of task 'sanity' 
  DEBUG [21:51:59.590] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.646] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:51:59.768] Skip subsetting of task 'sanity_reordered' 
  DEBUG [21:51:59.778] Calling train method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.833] Learner 'classif.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:51:59.880] Skip subsetting of task 'sanity_reordered' 
  DEBUG [21:51:59.895] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:51:59.941] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:00.040] Skip subsetting of task 'sanity_reordered' 
  DEBUG [21:52:00.052] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.105] Learner 'classif.rpart:prob' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:00.142] Skip subsetting of task 'sanity_reordered' 
  DEBUG [21:52:00.156] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.200] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:00.275] Skip subsetting of task 'sanity_switched' 
  DEBUG [21:52:00.283] Calling train method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.317] Learner 'classif.rpart:response' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:00.344] Skip subsetting of task 'sanity_switched' 
  DEBUG [21:52:00.353] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.386] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:00.486] Skip subsetting of task 'sanity_switched' 
  DEBUG [21:52:00.495] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.532] Learner 'classif.rpart:prob' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:00.560] Skip subsetting of task 'sanity_switched' 
  DEBUG [21:52:00.568] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.601] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:00.731] Skip subsetting of task 'foo' 
  DEBUG [21:52:00.736] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.768] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:00.889] Skip subsetting of task 'foo' 
  DEBUG [21:52:00.897] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:00.922] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:01.377] Skip subsetting of task 'feat_single_logical' 
  DEBUG [21:52:01.389] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.418] Learner 'regr.featureless:response' on task 'feat_single_logical' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:01.445] Skip subsetting of task 'feat_single_logical' 
  DEBUG [21:52:01.456] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.517] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:01.583] Skip subsetting of task 'feat_single_logical' 
  DEBUG [21:52:01.592] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.612] Learner 'regr.featureless:se' on task 'feat_single_logical' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:01.628] Skip subsetting of task 'feat_single_logical' 
  DEBUG [21:52:01.634] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.648] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:01.674] Skip subsetting of task 'feat_single_integer' 
  DEBUG [21:52:01.680] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.694] Learner 'regr.featureless:response' on task 'feat_single_integer' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:01.710] Skip subsetting of task 'feat_single_integer' 
  DEBUG [21:52:01.716] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.730] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:01.770] Skip subsetting of task 'feat_single_integer' 
  DEBUG [21:52:01.780] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.798] Learner 'regr.featureless:se' on task 'feat_single_integer' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:01.813] Skip subsetting of task 'feat_single_integer' 
  DEBUG [21:52:01.819] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.832] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:01.857] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [21:52:01.863] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.877] Learner 'regr.featureless:response' on task 'feat_single_numeric' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:01.892] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [21:52:01.899] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.914] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:01.943] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [21:52:01.949] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:01.965] Learner 'regr.featureless:se' on task 'feat_single_numeric' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:01.982] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [21:52:01.988] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.004] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.037] Skip subsetting of task 'feat_single_character' 
  DEBUG [21:52:02.043] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.059] Learner 'regr.featureless:response' on task 'feat_single_character' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.077] Skip subsetting of task 'feat_single_character' 
  DEBUG [21:52:02.084] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.101] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.131] Skip subsetting of task 'feat_single_character' 
  DEBUG [21:52:02.137] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.151] Learner 'regr.featureless:se' on task 'feat_single_character' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.168] Skip subsetting of task 'feat_single_character' 
  DEBUG [21:52:02.174] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.197] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.245] Skip subsetting of task 'feat_single_factor' 
  DEBUG [21:52:02.251] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.267] Learner 'regr.featureless:response' on task 'feat_single_factor' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.285] Skip subsetting of task 'feat_single_factor' 
  DEBUG [21:52:02.292] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.307] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.338] Skip subsetting of task 'feat_single_factor' 
  DEBUG [21:52:02.343] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.359] Learner 'regr.featureless:se' on task 'feat_single_factor' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.379] Skip subsetting of task 'feat_single_factor' 
  DEBUG [21:52:02.393] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.424] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.492] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [21:52:02.505] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.532] Learner 'regr.featureless:response' on task 'feat_single_ordered' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.555] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [21:52:02.565] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.582] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.614] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [21:52:02.621] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.638] Learner 'regr.featureless:se' on task 'feat_single_ordered' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.658] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [21:52:02.665] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.682] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.715] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [21:52:02.721] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.739] Learner 'regr.featureless:response' on task 'feat_single_POSIXct' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.760] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [21:52:02.767] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.784] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.843] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [21:52:02.852] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.871] Learner 'regr.featureless:se' on task 'feat_single_POSIXct' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:02.893] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [21:52:02.901] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.920] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:02.958] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:02.966] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:02.986] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.009] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.016] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.036] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.072] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.080] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.100] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.119] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.126] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.143] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.178] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.185] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.201] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.220] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.227] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.243] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.275] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.282] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.299] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.316] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:03.323] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.339] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.374] Skip subsetting of task 'missings' 
  DEBUG [21:52:03.381] Calling train method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.409] Learner 'regr.featureless:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.437] Skip subsetting of task 'missings' 
  DEBUG [21:52:03.443] Calling predict method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.471] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.501] Skip subsetting of task 'missings' 
  DEBUG [21:52:03.508] Calling train method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.533] Learner 'regr.featureless:se' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.561] Skip subsetting of task 'missings' 
  DEBUG [21:52:03.568] Calling predict method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.595] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.627] Skip subsetting of task 'missings_each_row' 
  DEBUG [21:52:03.633] Calling train method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.661] Learner 'regr.featureless:response' on task 'missings_each_row' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.690] Skip subsetting of task 'missings_each_row' 
  DEBUG [21:52:03.697] Calling predict method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.724] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.753] Skip subsetting of task 'missings_each_row' 
  DEBUG [21:52:03.759] Calling train method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.787] Learner 'regr.featureless:se' on task 'missings_each_row' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:03.815] Skip subsetting of task 'missings_each_row' 
  DEBUG [21:52:03.823] Calling predict method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:03.853] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:03.931] Running resample() via future with 1 iterations 
  INFO  [21:52:03.975] Applying learner 'regr.featureless' on task 'mtcars' (iter 1/1) 
  DEBUG [21:52:03.989] Subsetting task 'mtcars' to 21 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [29, 30, 10, 8, 7, 5, 13, 25, 26, 31, 4, 20, 22, 6, 11, 18, 2, 16, 15, 23, 32]}
  DEBUG [21:52:03.997] Calling train method of Learner 'regr.featureless' on task 'mtcars' with 21 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:04.009] Learner 'regr.featureless' on task 'mtcars' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [21:52:04.015] Creating Prediction for predict set 'test' 
  DEBUG [21:52:04.023] Subsetting task 'mtcars' to 11 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [1, 3, 9, 12, 14, 17, 19, 21, 24, 27, 28]}
  DEBUG [21:52:04.031] Calling predict method of Learner 'regr.featureless' on task 'mtcars' with 11 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [21:52:04.042] Learner 'regr.featureless' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:04.047] Erasing stored model for learner 'regr.featureless' 
  DEBUG [21:52:05.564] Skip subsetting of task 'feat_single_logical' 
  DEBUG [21:52:05.579] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:05.629] Learner 'regr.rpart:response' on task 'feat_single_logical' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:05.654] Skip subsetting of task 'feat_single_logical' 
  DEBUG [21:52:05.661] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:05.681] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:05.730] Skip subsetting of task 'feat_single_integer' 
  DEBUG [21:52:05.736] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:05.761] Learner 'regr.rpart:response' on task 'feat_single_integer' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:05.781] Skip subsetting of task 'feat_single_integer' 
  DEBUG [21:52:05.788] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:05.809] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:05.852] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [21:52:05.858] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:05.882] Learner 'regr.rpart:response' on task 'feat_single_numeric' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:05.900] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [21:52:05.907] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:05.928] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:05.973] Skip subsetting of task 'feat_single_factor' 
  DEBUG [21:52:05.979] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.003] Learner 'regr.rpart:response' on task 'feat_single_factor' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.025] Skip subsetting of task 'feat_single_factor' 
  DEBUG [21:52:06.032] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.054] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:06.100] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [21:52:06.106] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.142] Learner 'regr.rpart:response' on task 'feat_single_ordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.161] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [21:52:06.167] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.198] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:06.264] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:06.272] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.298] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.317] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:06.324] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.349] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:06.397] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:06.404] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.429] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.448] Skip subsetting of task 'feat_all' 
  DEBUG [21:52:06.454] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.474] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:06.552] Skip subsetting of task 'missings' 
  DEBUG [21:52:06.563] Calling train method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.611] Learner 'regr.rpart:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.637] Skip subsetting of task 'missings' 
  DEBUG [21:52:06.643] Calling predict method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.678] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:06.717] Skip subsetting of task 'missings_each_row' 
  DEBUG [21:52:06.723] Calling train method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.779] Learner 'regr.rpart:response' on task 'missings_each_row' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.808] Skip subsetting of task 'missings_each_row' 
  DEBUG [21:52:06.814] Calling predict method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.849] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:06.887] Skip subsetting of task 'weights' 
  DEBUG [21:52:06.893] Calling train method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:06.944] Learner 'regr.rpart:response' on task 'weights' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:06.988] Skip subsetting of task 'weights' 
  DEBUG [21:52:06.998] Calling predict method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.073] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:07.151] Skip subsetting of task 'sanity' 
  DEBUG [21:52:07.163] Calling train method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.204] Learner 'regr.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:07.234] Skip subsetting of task 'sanity' 
  DEBUG [21:52:07.243] Calling predict method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.279] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:07.337] Skip subsetting of task 'sanity_reordered' 
  DEBUG [21:52:07.343] Calling train method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.367] Learner 'regr.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:07.396] Skip subsetting of task 'sanity_reordered' 
  DEBUG [21:52:07.407] Calling predict method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.442] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [21:52:07.624] Skip subsetting of task 'foo' 
  DEBUG [21:52:07.633] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.671] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:07.794] Skip subsetting of task 'foo' 
  DEBUG [21:52:07.800] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [21:52:07.821] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:10.802] Running resample() via future with 3 iterations 
  INFO  [21:52:10.843] Applying learner 'classif.featureless' on task 'wine' (iter 1/3) 
  DEBUG [21:52:10.862] Subsetting task 'wine' to 118 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 10, 19, 21, 26, 27, 28, 32, 35, 38, 41, 42, 45, 52, 59, 60, 64, 65, 66, 76, 80, 86, 87, 88, 90, 93, 99, 101, 102, 103, 106, 109, 115, 117, 118, 120, 121, 122, 124, 128, 132, 133, 134, 140, 141, 144, 146, 151, 152, 153, 155, 159, 164, 165..]}
  DEBUG [21:52:10.871] Calling train method of Learner 'classif.featureless' on task 'wine' with 118 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:10.883] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:10.887] Creating Prediction for predict set 'test' 
  DEBUG [21:52:10.895] Subsetting task 'wine' to 60 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 7, 8, 11, 12, 22, 23, 29, 31, 33, 34, 36, 43, 47, 50, 56, 57, 62, 67, 70, 71, 72, 77, 79, 83, 91, 92, 94, 96, 97, 98, 100, 107, 108, 111, 113, 114, 116, 119, 123, 127, 129, 131, 135, 137, 138, 143, 145, 147, 161, 162, 167, 168, 1..]}
  DEBUG [21:52:10.903] Calling predict method of Learner 'classif.featureless' on task 'wine' with 60 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:10.916] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:10.921] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:10.924] Applying learner 'classif.featureless' on task 'wine' (iter 2/3) 
  DEBUG [21:52:10.944] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 7, 8, 11, 12, 22, 23, 29, 31, 33, 34, 36, 43, 47, 50, 56, 57, 62, 67, 70, 71, 72, 77, 79, 83, 91, 92, 94, 96, 97, 98, 100, 107, 108, 111, 113, 114, 116, 119, 123, 127, 129, 131, 135, 137, 138, 143, 145, 147, 161, 162, 167, 168, 1..]}
  DEBUG [21:52:10.952] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:10.964] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:10.968] Creating Prediction for predict set 'test' 
  DEBUG [21:52:10.976] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 10, 19, 21, 26, 27, 28, 32, 35, 38, 41, 42, 45, 52, 59, 60, 64, 65, 66, 76, 80, 86, 87, 88, 90, 93, 99, 101, 102, 103, 106, 109, 115, 117, 118, 120, 121, 122, 124, 128, 132, 133, 134, 140, 141, 144, 146, 151, 152, 153, 155, 159, 164, 165..]}
  DEBUG [21:52:10.985] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:10.998] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:11.003] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:11.006] Applying learner 'classif.featureless' on task 'wine' (iter 3/3) 
  DEBUG [21:52:11.026] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 7, 8, 11, 12, 22, 23, 29, 31, 33, 34, 36, 43, 47, 50, 56, 57, 62, 67, 70, 71, 72, 77, 79, 83, 91, 92, 94, 96, 97, 98, 100, 107, 108, 111, 113, 114, 116, 119, 123, 127, 129, 131, 135, 137, 138, 143, 145, 147, 161, 162, 167, 168, 1..]}
  DEBUG [21:52:11.034] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.046] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:11.051] Creating Prediction for predict set 'test' 
  DEBUG [21:52:11.059] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 9, 13, 14, 15, 16, 17, 18, 20, 24, 25, 30, 37, 39, 40, 44, 46, 48, 49, 51, 53, 54, 55, 58, 61, 63, 68, 69, 73, 74, 75, 78, 81, 82, 84, 85, 89, 95, 104, 105, 110, 112, 125, 126, 130, 136, 139, 142, 148, 149, 150, 154, 156, 157, 158, 160, 1..]}
  DEBUG [21:52:11.067] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.080] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:11.084] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:11.413] Skip subsetting of task 'sonar' 
  DEBUG [21:52:11.419] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.431] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:11.450] Skip subsetting of task 'sonar' 
  DEBUG [21:52:11.456] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.469] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:11.565] Skip subsetting of task 'sonar' 
  DEBUG [21:52:11.571] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.584] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:11.605] Skip subsetting of task 'sonar' 
  DEBUG [21:52:11.613] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.628] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:11.687] Skip subsetting of task 'iris' 
  DEBUG [21:52:11.695] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.708] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:11.727] Skip subsetting of task 'iris' 
  DEBUG [21:52:11.733] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.746] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:11.794] Skip subsetting of task 'iris' 
  DEBUG [21:52:11.801] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.812] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:11.830] Skip subsetting of task 'iris' 
  DEBUG [21:52:11.836] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:11.850] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:12.013] Running resample() via future with 1 iterations 
  INFO  [21:52:12.055] Applying learner 'classif.rpart' on task 'sonar' (iter 1/1) 
  DEBUG [21:52:12.069] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [192, 188, 13, 6, 20, 111, 14, 115, 147, 134, 208, 177, 27, 123, 53, 112, 61, 150, 29, 10, 38, 42, 92, 104, 79, 129, 85, 113, 36, 161, 145, 62, 200, 21, 43, 18, 108, 44, 88, 149, 31, 121, 4, 154, 63, 181, 119, 198, 103, 184, 97, 52, 86, 47, 3..]}
  DEBUG [21:52:12.078] Calling train method of Learner 'classif.rpart' on task 'sonar' with 139 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:12.134] Learner 'classif.rpart' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:12.140] Creating Prediction for predict set 'test' 
  DEBUG [21:52:12.149] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 5, 19, 24, 28, 32, 33, 37, 40, 45, 51, 54, 57, 64, 67, 70, 73, 77, 80, 82, 87, 90, 91, 93, 95, 96, 98, 100, 101, 109, 120, 125, 126, 130, 131, 133, 135, 137, 139, 141, 144, 146, 148, 152, 153, 157, 158, 163, 164, 166, 167, 168, 170, 171..]}
  DEBUG [21:52:12.159] Calling predict method of Learner 'classif.rpart' on task 'sonar' with 69 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:12.196] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [21:52:13.959] Benchmark with 1 resampling iterations 
  DEBUG [21:52:13.962] Running benchmark() asynchronously with 1 iterations 
  INFO  [21:52:13.986] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [21:52:14.000] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [21, 91, 76, 34, 134, 81, 77, 133, 69, 24, 142, 140, 75, 92, 94, 128, 122, 30, 64, 41, 56, 11, 106, 15, 16, 117, 147, 84, 9, 37, 109, 89, 12, 103, 50, 20, 73, 123, 93, 95, 33, 13, 148, 42, 36, 35, 97, 65, 29, 127, 60, 28, 27, 101, 149, 121, 1..]}
  DEBUG [21:52:14.008] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:14.036] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:14.040] Creating Prediction for predict set 'test' 
  DEBUG [21:52:14.046] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 6, 10, 17, 18, 19, 23, 26, 38, 39, 43, 46, 48, 49, 51, 53, 54, 62, 63, 66, 67, 72, 78, 80, 82, 85, 86, 87, 88, 90, 96, 98, 99, 100, 102, 107, 108, 112, 115, 116, 129, 130, 135, 136, 138, 139, 141, 143, 145]}
  DEBUG [21:52:14.053] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:14.069] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:14.073] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:14.080] Finished benchmark 
  DEBUG [21:52:29.270] Running resample() via future with 3 iterations 
  INFO  [21:52:31.235] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [21:52:31.366] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 9, 11, 21, 22, 23, 25, 30, 34, 35, 36, 38, 40, 43, 45, 48, 49, 50, 56, 57, 59, 66, 70, 74, 75, 76, 78, 80, 81, 82, 84, 88, 93, 99, 108, 110, 112, 115, 118, 119, 120, 126, 137, 138, 140, 143, 144, 145, 147, 150, 8, 10, 12, 14, 15, 16, 18..]}
  DEBUG [21:52:31.398] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:31.475] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:31.478] Creating Prediction for predict set 'test' 
  DEBUG [21:52:31.484] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 5, 6, 7, 13, 17, 19, 24, 26, 27, 28, 32, 33, 37, 44, 46, 47, 52, 53, 60, 62, 63, 64, 68, 71, 72, 73, 77, 87, 90, 94, 98, 100, 101, 104, 105, 106, 109, 111, 117, 122, 127, 130, 132, 134, 135, 136, 149]}
  DEBUG [21:52:31.490] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:31.507] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:31.511] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:31.606] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [21:52:31.741] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 5, 6, 7, 13, 17, 19, 24, 26, 27, 28, 32, 33, 37, 44, 46, 47, 52, 53, 60, 62, 63, 64, 68, 71, 72, 73, 77, 87, 90, 94, 98, 100, 101, 104, 105, 106, 109, 111, 117, 122, 127, 130, 132, 134, 135, 136, 149, 1, 9, 11, 21, 22, 23, 25, 30, 3..]}
  DEBUG [21:52:31.771] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:31.843] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:31.846] Creating Prediction for predict set 'test' 
  DEBUG [21:52:31.852] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 10, 12, 14, 15, 16, 18, 20, 29, 31, 39, 41, 42, 51, 54, 55, 58, 61, 65, 67, 69, 79, 83, 85, 86, 89, 91, 92, 95, 96, 97, 102, 103, 107, 113, 114, 116, 121, 123, 124, 125, 128, 129, 131, 133, 139, 141, 142, 146, 148]}
  DEBUG [21:52:31.857] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:31.874] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:31.876] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:31.879] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [21:52:31.893] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 5, 6, 7, 13, 17, 19, 24, 26, 27, 28, 32, 33, 37, 44, 46, 47, 52, 53, 60, 62, 63, 64, 68, 71, 72, 73, 77, 87, 90, 94, 98, 100, 101, 104, 105, 106, 109, 111, 117, 122, 127, 130, 132, 134, 135, 136, 149, 8, 10, 12, 14, 15, 16, 18, 20..]}
  DEBUG [21:52:31.899] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:31.915] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:31.917] Creating Prediction for predict set 'test' 
  DEBUG [21:52:31.921] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 9, 11, 21, 22, 23, 25, 30, 34, 35, 36, 38, 40, 43, 45, 48, 49, 50, 56, 57, 59, 66, 70, 74, 75, 76, 78, 80, 81, 82, 84, 88, 93, 99, 108, 110, 112, 115, 118, 119, 120, 126, 137, 138, 140, 143, 144, 145, 147, 150]}
  DEBUG [21:52:31.927] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:31.940] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:31.943] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:34.409] Benchmark with 3 resampling iterations 
  DEBUG [21:52:34.415] Running benchmark() asynchronously with 3 iterations 
  INFO  [21:52:36.106] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [21:52:36.244] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 7, 8, 9, 10, 11, 15, 19, 23, 24, 30, 35, 37, 39, 49, 51, 52, 53, 56, 61, 62, 66, 67, 70, 71, 74, 82, 83, 86, 93, 96, 98, 100, 101, 102, 106, 108, 109, 113, 115, 121, 124, 125, 128, 129, 135, 142, 147, 150, 5, 13, 14, 18, 21, 22, 26, 27..]}
  DEBUG [21:52:36.275] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:36.354] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:36.357] Creating Prediction for predict set 'test' 
  DEBUG [21:52:36.363] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 6, 12, 16, 17, 20, 25, 33, 40, 43, 45, 46, 47, 50, 54, 58, 65, 73, 75, 76, 77, 78, 80, 81, 84, 85, 87, 90, 91, 92, 95, 97, 99, 105, 107, 111, 114, 116, 118, 119, 126, 127, 130, 136, 140, 144, 145, 146, 149]}
  DEBUG [21:52:36.368] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:36.385] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:36.388] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:36.344] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [21:52:36.477] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 13, 14, 18, 21, 22, 26, 27, 28, 29, 31, 32, 34, 36, 38, 41, 42, 44, 48, 55, 57, 59, 60, 63, 64, 68, 69, 72, 79, 88, 89, 94, 103, 104, 110, 112, 117, 120, 122, 123, 131, 132, 133, 134, 137, 138, 139, 141, 143, 148, 2, 4, 6, 12, 16, 17, 20..]}
  DEBUG [21:52:36.507] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:36.586] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:36.589] Creating Prediction for predict set 'test' 
  DEBUG [21:52:36.595] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 7, 8, 9, 10, 11, 15, 19, 23, 24, 30, 35, 37, 39, 49, 51, 52, 53, 56, 61, 62, 66, 67, 70, 71, 74, 82, 83, 86, 93, 96, 98, 100, 101, 102, 106, 108, 109, 113, 115, 121, 124, 125, 128, 129, 135, 142, 147, 150]}
  DEBUG [21:52:36.601] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:36.620] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:36.623] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:36.625] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [21:52:36.641] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 7, 8, 9, 10, 11, 15, 19, 23, 24, 30, 35, 37, 39, 49, 51, 52, 53, 56, 61, 62, 66, 67, 70, 71, 74, 82, 83, 86, 93, 96, 98, 100, 101, 102, 106, 108, 109, 113, 115, 121, 124, 125, 128, 129, 135, 142, 147, 150, 2, 4, 6, 12, 16, 17, 20, 25..]}
  DEBUG [21:52:36.647] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:36.664] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:36.667] Creating Prediction for predict set 'test' 
  DEBUG [21:52:36.672] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 13, 14, 18, 21, 22, 26, 27, 28, 29, 31, 32, 34, 36, 38, 41, 42, 44, 48, 55, 57, 59, 60, 63, 64, 68, 69, 72, 79, 88, 89, 94, 103, 104, 110, 112, 117, 120, 122, 123, 131, 132, 133, 134, 137, 138, 139, 141, 143, 148]}
  DEBUG [21:52:36.678] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:36.691] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:36.694] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:36.854] Finished benchmark 
  DEBUG [21:52:40.522] Running resample() via future with 3 iterations 
  INFO  [21:52:40.837] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [21:52:41.310] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 6, 7, 14, 15, 18, 23, 31, 35, 36, 37, 44, 45, 46, 52, 54, 57, 58, 59, 70, 71, 73, 75, 77, 78, 82, 83, 88, 89, 90, 91, 96, 101, 109, 112, 113, 114, 115, 117, 119, 124, 126, 130, 131, 132, 138, 142, 145, 149, 150, 1, 4, 9, 20, 25, 26, 28, 3..]}
  DEBUG [21:52:41.464] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:41.813] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:41.867] Creating Prediction for predict set 'test' 
  DEBUG [21:52:41.980] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 5, 8, 10, 11, 12, 13, 16, 17, 19, 21, 22, 24, 27, 29, 30, 33, 34, 38, 40, 41, 47, 48, 53, 55, 63, 64, 74, 79, 85, 86, 93, 95, 97, 98, 100, 102, 103, 104, 106, 107, 110, 118, 121, 122, 128, 136, 139, 144, 146]}
  DEBUG [21:52:42.082] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:42.299] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:42.343] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:41.021] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [21:52:41.553] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 9, 20, 25, 26, 28, 32, 39, 42, 43, 49, 50, 51, 56, 60, 61, 62, 65, 66, 67, 68, 69, 72, 76, 80, 81, 84, 87, 92, 94, 99, 105, 108, 111, 116, 120, 123, 125, 127, 129, 133, 134, 135, 137, 140, 141, 143, 147, 148, 2, 5, 8, 10, 11, 12, 13, 1..]}
  DEBUG [21:52:41.737] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:42.139] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:42.207] Creating Prediction for predict set 'test' 
  DEBUG [21:52:42.304] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 6, 7, 14, 15, 18, 23, 31, 35, 36, 37, 44, 45, 46, 52, 54, 57, 58, 59, 70, 71, 73, 75, 77, 78, 82, 83, 88, 89, 90, 91, 96, 101, 109, 112, 113, 114, 115, 117, 119, 124, 126, 130, 131, 132, 138, 142, 145, 149, 150]}
  DEBUG [21:52:42.424] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:42.658] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:42.709] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:52:42.755] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [21:52:42.927] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 6, 7, 14, 15, 18, 23, 31, 35, 36, 37, 44, 45, 46, 52, 54, 57, 58, 59, 70, 71, 73, 75, 77, 78, 82, 83, 88, 89, 90, 91, 96, 101, 109, 112, 113, 114, 115, 117, 119, 124, 126, 130, 131, 132, 138, 142, 145, 149, 150, 2, 5, 8, 10, 11, 12, 13, 1..]}
  DEBUG [21:52:42.980] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:43.116] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:52:43.149] Creating Prediction for predict set 'test' 
  DEBUG [21:52:43.206] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 9, 20, 25, 26, 28, 32, 39, 42, 43, 49, 50, 51, 56, 60, 61, 62, 65, 66, 67, 68, 69, 72, 76, 80, 81, 84, 87, 92, 94, 99, 105, 108, 111, 116, 120, 123, 125, 127, 129, 133, 134, 135, 137, 140, 141, 143, 147, 148]}
  DEBUG [21:52:43.269] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:52:43.370] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:43.403] Erasing stored model for learner 'classif.rpart' 
  DEBUG [21:52:45.085] Running resample() via future with 3 iterations 
  INFO  [21:52:45.132] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [21:52:45.151] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 11, 18, 23, 25, 28, 30, 36, 38, 39, 41, 46, 48, 50, 57, 58, 61, 64, 65, 66, 67, 68, 69, 72, 75, 80, 81, 85, 87, 88, 89, 92, 94, 96, 113, 114, 115, 120, 121, 123, 127, 133, 134, 136, 137, 138, 141, 146, 147, 150, 153, 157, 159, 162, 163..]}
  DEBUG [21:52:45.160] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:45.173] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:52:45.178] Creating Prediction for predict set 'test' 
  DEBUG [21:52:45.185] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 13, 14, 17, 22, 26, 27, 29, 31, 32, 33, 35, 42, 43, 45, 49, 52, 54, 55, 59, 62, 63, 70, 71, 74, 78, 84, 90, 93, 95, 97, 98, 99, 110, 111, 112, 116, 118, 119, 124, 130, 131, 135, 139, 142, 144, 145, 148, 151, 152, 154, 156, 158, 165..]}
  DEBUG [21:52:45.193] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:45.205] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:45.209] Erasing stored model for learner 'classif.debug' 
  INFO  [21:52:45.213] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [21:52:45.232] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 11, 18, 23, 25, 28, 30, 36, 38, 39, 41, 46, 48, 50, 57, 58, 61, 64, 65, 66, 67, 68, 69, 72, 75, 80, 81, 85, 87, 88, 89, 92, 94, 96, 113, 114, 115, 120, 121, 123, 127, 133, 134, 136, 137, 138, 141, 146, 147, 150, 153, 157, 159, 162, 163..]}
  DEBUG [21:52:45.241] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:45.257] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:52:45.262] Creating Prediction for predict set 'test' 
  DEBUG [21:52:45.271] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 7, 8, 9, 10, 12, 15, 16, 19, 20, 21, 24, 34, 37, 40, 44, 47, 51, 53, 56, 60, 73, 76, 77, 79, 82, 83, 86, 91, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 117, 122, 125, 126, 128, 129, 132, 140, 143, 149, 155, 160, 161, 164, 166, 167..]}
  DEBUG [21:52:45.281] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:45.296] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:45.302] Erasing stored model for learner 'classif.debug' 
  INFO  [21:52:45.307] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [21:52:45.331] Subsetting task 'wine' to 118 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 13, 14, 17, 22, 26, 27, 29, 31, 32, 33, 35, 42, 43, 45, 49, 52, 54, 55, 59, 62, 63, 70, 71, 74, 78, 84, 90, 93, 95, 97, 98, 99, 110, 111, 112, 116, 118, 119, 124, 130, 131, 135, 139, 142, 144, 145, 148, 151, 152, 154, 156, 158, 165..]}
  DEBUG [21:52:45.341] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:45.355] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:52:45.360] Creating Prediction for predict set 'test' 
  DEBUG [21:52:45.369] Subsetting task 'wine' to 60 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 11, 18, 23, 25, 28, 30, 36, 38, 39, 41, 46, 48, 50, 57, 58, 61, 64, 65, 66, 67, 68, 69, 72, 75, 80, 81, 85, 87, 88, 89, 92, 94, 96, 113, 114, 115, 120, 121, 123, 127, 133, 134, 136, 137, 138, 141, 146, 147, 150, 153, 157, 159, 162, 163..]}
  DEBUG [21:52:45.377] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:45.390] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:45.394] Erasing stored model for learner 'classif.debug' 
  DEBUG [21:52:45.537] Running resample() via future with 3 iterations 
  INFO  [21:52:47.236] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [21:52:47.364] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 11, 18, 23, 25, 28, 30, 36, 38, 39, 41, 46, 48, 50, 57, 58, 61, 64, 65, 66, 67, 68, 69, 72, 75, 80, 81, 85, 87, 88, 89, 92, 94, 96, 113, 114, 115, 120, 121, 123, 127, 133, 134, 136, 137, 138, 141, 146, 147, 150, 153, 157, 159, 162, 163..]}
  DEBUG [21:52:47.395] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:47.440] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:52:47.443] Creating Prediction for predict set 'test' 
  DEBUG [21:52:47.448] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 13, 14, 17, 22, 26, 27, 29, 31, 32, 33, 35, 42, 43, 45, 49, 52, 54, 55, 59, 62, 63, 70, 71, 74, 78, 84, 90, 93, 95, 97, 98, 99, 110, 111, 112, 116, 118, 119, 124, 130, 131, 135, 139, 142, 144, 145, 148, 151, 152, 154, 156, 158, 165..]}
  DEBUG [21:52:47.453] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:47.465] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:47.468] Erasing stored model for learner 'classif.debug' 
  INFO  [21:52:47.734] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [21:52:47.885] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 11, 18, 23, 25, 28, 30, 36, 38, 39, 41, 46, 48, 50, 57, 58, 61, 64, 65, 66, 67, 68, 69, 72, 75, 80, 81, 85, 87, 88, 89, 92, 94, 96, 113, 114, 115, 120, 121, 123, 127, 133, 134, 136, 137, 138, 141, 146, 147, 150, 153, 157, 159, 162, 163..]}
  DEBUG [21:52:47.920] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:47.974] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:52:47.977] Creating Prediction for predict set 'test' 
  DEBUG [21:52:47.983] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 7, 8, 9, 10, 12, 15, 16, 19, 20, 21, 24, 34, 37, 40, 44, 47, 51, 53, 56, 60, 73, 76, 77, 79, 82, 83, 86, 91, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 117, 122, 125, 126, 128, 129, 132, 140, 143, 149, 155, 160, 161, 164, 166, 167..]}
  DEBUG [21:52:47.989] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.002] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:48.005] Erasing stored model for learner 'classif.debug' 
  INFO  [21:52:48.008] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [21:52:48.025] Subsetting task 'wine' to 118 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 13, 14, 17, 22, 26, 27, 29, 31, 32, 33, 35, 42, 43, 45, 49, 52, 54, 55, 59, 62, 63, 70, 71, 74, 78, 84, 90, 93, 95, 97, 98, 99, 110, 111, 112, 116, 118, 119, 124, 130, 131, 135, 139, 142, 144, 145, 148, 151, 152, 154, 156, 158, 165..]}
  DEBUG [21:52:48.031] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.041] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:52:48.044] Creating Prediction for predict set 'test' 
  DEBUG [21:52:48.050] Subsetting task 'wine' to 60 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 11, 18, 23, 25, 28, 30, 36, 38, 39, 41, 46, 48, 50, 57, 58, 61, 64, 65, 66, 67, 68, 69, 72, 75, 80, 81, 85, 87, 88, 89, 92, 94, 96, 113, 114, 115, 120, 121, 123, 127, 133, 134, 136, 137, 138, 141, 146, 147, 150, 153, 157, 159, 162, 163..]}
  DEBUG [21:52:48.056] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.066] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:48.069] Erasing stored model for learner 'classif.debug' 
  DEBUG [21:52:48.555] Skip subsetting of task 'sonar' 
  DEBUG [21:52:48.563] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.577] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:48.638] Skip subsetting of task 'sonar' 
  DEBUG [21:52:48.645] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.664] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:48.706] Skip subsetting of task 'sonar' 
  DEBUG [21:52:48.712] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.729] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:48.788] Skip subsetting of task 'sonar' 
  DEBUG [21:52:48.795] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.814] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:48.916] Skip subsetting of task 'sonar' 
  DEBUG [21:52:48.931] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:48.956] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:49.038] Skip subsetting of task 'sonar' 
  DEBUG [21:52:49.048] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.076] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:49.135] Skip subsetting of task 'sonar' 
  DEBUG [21:52:49.143] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.166] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:49.218] Skip subsetting of task 'sonar' 
  DEBUG [21:52:49.226] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.246] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:49.288] Skip subsetting of task 'sonar' 
  DEBUG [21:52:49.294] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.310] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:49.497] Running resample() via future with 3 iterations 
  INFO  [21:52:49.542] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [21:52:49.562] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [9, 10, 11, 18, 19, 20, 26, 30, 33, 37, 38, 42, 45, 48, 49, 52, 53, 54, 56, 59, 62, 65, 67, 68, 69, 75, 76, 84, 86, 88, 93, 96, 100, 110, 112, 114, 116, 119, 124, 125, 129, 132, 136, 138, 142, 144, 146, 147, 148, 149, 1, 2, 3, 4, 5, 7, 21, 29..]}
  DEBUG [21:52:49.571] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.583] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:49.588] Creating Prediction for predict set 'test' 
  DEBUG [21:52:49.595] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 8, 12, 13, 14, 15, 16, 17, 22, 23, 24, 25, 27, 28, 34, 36, 40, 41, 43, 44, 50, 51, 55, 58, 60, 63, 64, 72, 80, 83, 85, 89, 90, 91, 92, 99, 102, 103, 107, 108, 117, 120, 122, 126, 133, 134, 135, 139, 141, 145]}
  DEBUG [21:52:49.604] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.618] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [21:52:49.625] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [21:52:49.645] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [9, 10, 11, 18, 19, 20, 26, 30, 33, 37, 38, 42, 45, 48, 49, 52, 53, 54, 56, 59, 62, 65, 67, 68, 69, 75, 76, 84, 86, 88, 93, 96, 100, 110, 112, 114, 116, 119, 124, 125, 129, 132, 136, 138, 142, 144, 146, 147, 148, 149, 6, 8, 12, 13, 14, 15, 16..]}
  DEBUG [21:52:49.656] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.673] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:49.679] Creating Prediction for predict set 'test' 
  DEBUG [21:52:49.691] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 5, 7, 21, 29, 31, 32, 35, 39, 46, 47, 57, 61, 66, 70, 71, 73, 74, 77, 78, 79, 81, 82, 87, 94, 95, 97, 98, 101, 104, 105, 106, 109, 111, 113, 115, 118, 121, 123, 127, 128, 130, 131, 137, 140, 143, 150]}
  DEBUG [21:52:49.702] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.722] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [21:52:49.730] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [21:52:49.748] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 8, 12, 13, 14, 15, 16, 17, 22, 23, 24, 25, 27, 28, 34, 36, 40, 41, 43, 44, 50, 51, 55, 58, 60, 63, 64, 72, 80, 83, 85, 89, 90, 91, 92, 99, 102, 103, 107, 108, 117, 120, 122, 126, 133, 134, 135, 139, 141, 145, 1, 2, 3, 4, 5, 7, 21, 29, 31..]}
  DEBUG [21:52:49.755] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.766] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:49.770] Creating Prediction for predict set 'test' 
  DEBUG [21:52:49.777] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [9, 10, 11, 18, 19, 20, 26, 30, 33, 37, 38, 42, 45, 48, 49, 52, 53, 54, 56, 59, 62, 65, 67, 68, 69, 75, 76, 84, 86, 88, 93, 96, 100, 110, 112, 114, 116, 119, 124, 125, 129, 132, 136, 138, 142, 144, 146, 147, 148, 149]}
  DEBUG [21:52:49.784] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:49.795] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:54.176] Running resample() via future with 3 iterations 
  INFO  [21:52:54.237] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [21:52:54.273] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [9, 16, 19, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 38, 39, 42, 46, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 65, 67, 69, 83, 86, 88, 97, 99, 103, 104, 107, 108, 109, 111, 113, 118, 119, 120, 128, 143, 145, 147, 149, 1, 2, 5, 8, 10, 13, 14, 15..]}
  DEBUG [21:52:54.288] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:54.312] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:54.320] Creating Prediction for predict set 'test' 
  DEBUG [21:52:54.335] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 11, 12, 17, 26, 31, 36, 37, 40, 43, 44, 45, 47, 48, 49, 54, 60, 70, 71, 74, 76, 77, 80, 84, 89, 90, 93, 94, 98, 100, 106, 114, 115, 116, 117, 121, 122, 123, 124, 125, 129, 130, 132, 135, 136, 137, 138]}
  DEBUG [21:52:54.352] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:54.379] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:54.389] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:54.398] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [21:52:54.437] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [9, 16, 19, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 38, 39, 42, 46, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 65, 67, 69, 83, 86, 88, 97, 99, 103, 104, 107, 108, 109, 111, 113, 118, 119, 120, 128, 143, 145, 147, 149, 3, 4, 6, 7, 11, 12, 17, 26..]}
  DEBUG [21:52:54.449] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:54.468] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:54.493] Creating Prediction for predict set 'test' 
  DEBUG [21:52:54.516] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 8, 10, 13, 14, 15, 18, 20, 21, 22, 35, 41, 50, 59, 64, 66, 68, 72, 73, 75, 78, 79, 81, 82, 85, 87, 91, 92, 95, 96, 101, 102, 105, 110, 112, 126, 127, 131, 133, 134, 139, 140, 141, 142, 144, 146, 148, 150]}
  DEBUG [21:52:54.545] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:54.578] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:54.590] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:54.600] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [21:52:54.632] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 11, 12, 17, 26, 31, 36, 37, 40, 43, 44, 45, 47, 48, 49, 54, 60, 70, 71, 74, 76, 77, 80, 84, 89, 90, 93, 94, 98, 100, 106, 114, 115, 116, 117, 121, 122, 123, 124, 125, 129, 130, 132, 135, 136, 137, 138, 1, 2, 5, 8, 10, 13, 14, 15..]}
  DEBUG [21:52:54.647] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:54.665] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:54.672] Creating Prediction for predict set 'test' 
  DEBUG [21:52:54.685] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [9, 16, 19, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 38, 39, 42, 46, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 65, 67, 69, 83, 86, 88, 97, 99, 103, 104, 107, 108, 109, 111, 113, 118, 119, 120, 128, 143, 145, 147, 149]}
  DEBUG [21:52:54.698] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:54.717] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:54.725] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:55.241] Running resample() via future with 3 iterations 
  INFO  [21:52:55.288] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [21:52:55.309] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 8, 12, 15, 20, 22, 28, 30, 31, 34, 35, 36, 39, 43, 45, 47, 52, 53, 54, 57, 64, 66, 68, 73, 79, 82, 86, 88, 90, 93, 94, 95, 96, 97, 100, 101, 107, 108, 109, 111, 114, 116, 123, 125, 126, 127, 133, 137, 147, 148, 3, 5, 6, 11, 14, 16, 18, 19..]}
  DEBUG [21:52:55.319] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:55.330] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:55.334] Creating Prediction for predict set 'test' 
  DEBUG [21:52:55.342] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 7, 9, 10, 13, 17, 21, 23, 25, 26, 32, 33, 37, 40, 41, 44, 48, 49, 50, 51, 55, 56, 58, 59, 60, 62, 63, 71, 76, 77, 80, 81, 87, 89, 92, 105, 110, 112, 115, 118, 122, 128, 129, 130, 134, 136, 139, 144, 149]}
  DEBUG [21:52:55.351] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:55.363] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:55.368] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:55.372] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [21:52:55.392] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 7, 9, 10, 13, 17, 21, 23, 25, 26, 32, 33, 37, 40, 41, 44, 48, 49, 50, 51, 55, 56, 58, 59, 60, 62, 63, 71, 76, 77, 80, 81, 87, 89, 92, 105, 110, 112, 115, 118, 122, 128, 129, 130, 134, 136, 139, 144, 149, 4, 8, 12, 15, 20, 22, 28, 30, 3..]}
  DEBUG [21:52:55.400] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:55.412] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:55.416] Creating Prediction for predict set 'test' 
  DEBUG [21:52:55.424] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 6, 11, 14, 16, 18, 19, 24, 27, 29, 38, 42, 46, 61, 65, 67, 69, 70, 72, 74, 75, 78, 83, 84, 85, 91, 98, 99, 102, 103, 104, 106, 113, 117, 119, 120, 121, 124, 131, 132, 135, 138, 140, 141, 142, 143, 145, 146, 150]}
  DEBUG [21:52:55.432] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:55.444] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:55.449] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:55.453] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [21:52:55.472] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 7, 9, 10, 13, 17, 21, 23, 25, 26, 32, 33, 37, 40, 41, 44, 48, 49, 50, 51, 55, 56, 58, 59, 60, 62, 63, 71, 76, 77, 80, 81, 87, 89, 92, 105, 110, 112, 115, 118, 122, 128, 129, 130, 134, 136, 139, 144, 149, 3, 5, 6, 11, 14, 16, 18, 19, 24..]}
  DEBUG [21:52:55.481] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:55.500] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:55.505] Creating Prediction for predict set 'test' 
  DEBUG [21:52:55.514] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 8, 12, 15, 20, 22, 28, 30, 31, 34, 35, 36, 39, 43, 45, 47, 52, 53, 54, 57, 64, 66, 68, 73, 79, 82, 86, 88, 90, 93, 94, 95, 96, 97, 100, 101, 107, 108, 109, 111, 114, 116, 123, 125, 126, 127, 133, 137, 147, 148]}
  DEBUG [21:52:55.524] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:55.538] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:55.543] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:57.286] Running resample() via future with 3 iterations 
  INFO  [21:52:57.361] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [21:52:57.393] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 5, 7, 12, 16, 24, 25, 30, 31, 33, 34, 37, 40, 42, 46, 48, 53, 55, 56, 61, 72, 78, 81, 84, 88, 94, 95, 100, 101, 102, 106, 107, 108, 111, 115, 117, 118, 120, 121, 124, 133, 134, 137, 143, 144, 145, 146, 148, 6, 14, 17, 21, 35, 36, 38..]}
  DEBUG [21:52:57.408] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:57.427] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:57.434] Creating Prediction for predict set 'test' 
  DEBUG [21:52:57.446] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 8, 9, 10, 11, 13, 15, 18, 19, 20, 22, 23, 26, 27, 28, 29, 32, 39, 43, 44, 47, 50, 51, 52, 54, 60, 64, 65, 66, 70, 77, 80, 83, 86, 87, 98, 99, 103, 114, 119, 123, 125, 126, 129, 132, 138, 139, 142, 147, 149]}
  DEBUG [21:52:57.454] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:57.465] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:57.469] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:57.473] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [21:52:57.491] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 8, 9, 10, 11, 13, 15, 18, 19, 20, 22, 23, 26, 27, 28, 29, 32, 39, 43, 44, 47, 50, 51, 52, 54, 60, 64, 65, 66, 70, 77, 80, 83, 86, 87, 98, 99, 103, 114, 119, 123, 125, 126, 129, 132, 138, 139, 142, 147, 149, 6, 14, 17, 21, 35, 36, 38, 41..]}
  DEBUG [21:52:57.499] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:57.512] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:57.520] Creating Prediction for predict set 'test' 
  DEBUG [21:52:57.530] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 5, 7, 12, 16, 24, 25, 30, 31, 33, 34, 37, 40, 42, 46, 48, 53, 55, 56, 61, 72, 78, 81, 84, 88, 94, 95, 100, 101, 102, 106, 107, 108, 111, 115, 117, 118, 120, 121, 124, 133, 134, 137, 143, 144, 145, 146, 148]}
  DEBUG [21:52:57.543] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:57.560] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:57.567] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:57.574] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [21:52:57.599] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 8, 9, 10, 11, 13, 15, 18, 19, 20, 22, 23, 26, 27, 28, 29, 32, 39, 43, 44, 47, 50, 51, 52, 54, 60, 64, 65, 66, 70, 77, 80, 83, 86, 87, 98, 99, 103, 114, 119, 123, 125, 126, 129, 132, 138, 139, 142, 147, 149, 1, 2, 4, 5, 7, 12, 16, 24, 25..]}
  DEBUG [21:52:57.614] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:57.628] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:57.634] Creating Prediction for predict set 'test' 
  DEBUG [21:52:57.646] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 14, 17, 21, 35, 36, 38, 41, 45, 49, 57, 58, 59, 62, 63, 67, 68, 69, 71, 73, 74, 75, 76, 79, 82, 85, 89, 90, 91, 92, 93, 96, 97, 104, 105, 109, 110, 112, 113, 116, 122, 127, 128, 130, 131, 135, 136, 140, 141, 150]}
  DEBUG [21:52:57.705] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:57.730] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:57.739] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:58.013] Running resample() via future with 1 iterations 
  INFO  [21:52:58.087] Applying learner 'classif.featureless' on task 'iris' (iter 1/1) 
  DEBUG [21:52:58.109] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [122, 37, 127, 55, 100, 35, 145, 115, 113, 54, 99, 72, 138, 28, 10, 26, 95, 144, 140, 114, 107, 90, 30, 75, 76, 130, 70, 81, 117, 97, 1, 12, 119, 13, 148, 65, 73, 123, 88, 105, 2, 71, 18, 25, 50, 7, 137, 57, 22, 108, 58, 78, 89, 146, 134, 59..]}
  DEBUG [21:52:58.123] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.140] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:58.146] Creating Prediction for predict set 'test' 
  DEBUG [21:52:58.158] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 8, 9, 11, 16, 19, 20, 21, 23, 27, 33, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 56, 60, 62, 63, 64, 67, 74, 77, 79, 80, 83, 85, 92, 96, 98, 102, 110, 112, 121, 128, 129, 131, 133, 139, 141, 142, 149, 150]}
  DEBUG [21:52:58.172] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.202] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:58.212] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:58.396] Running resample() via future with 3 iterations 
  INFO  [21:52:58.465] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [21:52:58.512] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 13, 16, 19, 22, 23, 24, 25, 27, 32, 33, 37, 40, 44, 48, 49, 53, 54, 56, 59, 64, 67, 69, 71, 72, 75, 79, 82, 83, 90, 93, 94, 98, 99, 104, 107, 109, 112, 113, 114, 116, 117, 120, 123, 127, 133, 143, 144, 1, 3, 4, 5, 14, 15, 17, 20, 29..]}
  DEBUG [21:52:58.530] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.555] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:58.564] Creating Prediction for predict set 'test' 
  DEBUG [21:52:58.582] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 9, 10, 11, 12, 18, 21, 26, 28, 30, 34, 39, 41, 45, 47, 52, 57, 58, 61, 62, 63, 70, 73, 76, 78, 80, 85, 86, 89, 97, 100, 101, 102, 103, 110, 111, 115, 118, 119, 125, 126, 129, 130, 131, 132, 134, 135, 136, 149, 150]}
  DEBUG [21:52:58.597] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.622] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:58.633] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:58.639] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [21:52:58.680] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 13, 16, 19, 22, 23, 24, 25, 27, 32, 33, 37, 40, 44, 48, 49, 53, 54, 56, 59, 64, 67, 69, 71, 72, 75, 79, 82, 83, 90, 93, 94, 98, 99, 104, 107, 109, 112, 113, 114, 116, 117, 120, 123, 127, 133, 143, 144, 2, 9, 10, 11, 12, 18, 21, 26..]}
  DEBUG [21:52:58.701] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.732] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:58.738] Creating Prediction for predict set 'test' 
  DEBUG [21:52:58.748] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 4, 5, 14, 15, 17, 20, 29, 31, 35, 36, 38, 42, 43, 46, 50, 51, 55, 60, 65, 66, 68, 74, 77, 81, 84, 87, 88, 91, 92, 95, 96, 105, 106, 108, 121, 122, 124, 128, 137, 138, 139, 140, 141, 142, 145, 146, 147, 148]}
  DEBUG [21:52:58.760] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.778] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:58.785] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:58.789] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [21:52:58.819] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 4, 5, 14, 15, 17, 20, 29, 31, 35, 36, 38, 42, 43, 46, 50, 51, 55, 60, 65, 66, 68, 74, 77, 81, 84, 87, 88, 91, 92, 95, 96, 105, 106, 108, 121, 122, 124, 128, 137, 138, 139, 140, 141, 142, 145, 146, 147, 148, 2, 9, 10, 11, 12, 18, 21, 26..]}
  DEBUG [21:52:58.833] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.848] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:58.854] Creating Prediction for predict set 'test' 
  DEBUG [21:52:58.868] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 13, 16, 19, 22, 23, 24, 25, 27, 32, 33, 37, 40, 44, 48, 49, 53, 54, 56, 59, 64, 67, 69, 71, 72, 75, 79, 82, 83, 90, 93, 94, 98, 99, 104, 107, 109, 112, 113, 114, 116, 117, 120, 123, 127, 133, 143, 144]}
  DEBUG [21:52:58.884] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:58.909] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:58.918] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:59.111] Running resample() via future with 3 iterations 
  INFO  [21:52:59.166] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3) 
  DEBUG [21:52:59.183] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 5, 6, 10, 11, 15, 16, 17, 23, 24, 27, 29, 38, 42, 45, 46, 50, 51, 53, 54, 55, 56, 67, 68, 69, 71, 73, 74, 78, 79, 86, 91, 93, 94, 97, 103, 104, 111, 115, 124, 125, 126, 127, 128, 129, 130, 132, 133, 139, 141, 142, 150, 151, 153, 154..]}
  DEBUG [21:52:59.192] Calling train method of Learner 'classif.featureless' on task 'sonar' with 138 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:59.203] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:59.207] Creating Prediction for predict set 'test' 
  DEBUG [21:52:59.215] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 18, 21, 22, 30, 31, 32, 35, 37, 39, 41, 48, 52, 57, 60, 62, 65, 66, 70, 75, 76, 81, 83, 85, 87, 89, 90, 92, 96, 98, 101, 102, 105, 108, 116, 117, 118, 119, 120, 131, 134, 136, 137, 140, 144, 145, 147, 149, 159, 160, 163, 169, 173, 175, 17..]}
  DEBUG [21:52:59.222] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 70 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:59.235] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:59.239] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:59.243] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3) 
  DEBUG [21:52:59.261] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 18, 21, 22, 30, 31, 32, 35, 37, 39, 41, 48, 52, 57, 60, 62, 65, 66, 70, 75, 76, 81, 83, 85, 87, 89, 90, 92, 96, 98, 101, 102, 105, 108, 116, 117, 118, 119, 120, 131, 134, 136, 137, 140, 144, 145, 147, 149, 159, 160, 163, 169, 173, 175, 17..]}
  DEBUG [21:52:59.270] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:59.281] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:59.285] Creating Prediction for predict set 'test' 
  DEBUG [21:52:59.292] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 8, 9, 12, 13, 14, 19, 20, 25, 26, 28, 33, 34, 36, 40, 43, 44, 47, 49, 58, 59, 61, 63, 64, 72, 77, 80, 82, 84, 88, 95, 99, 100, 106, 107, 109, 110, 112, 113, 114, 121, 122, 123, 135, 138, 143, 146, 148, 152, 156, 157, 162, 164, 165, 166, 1..]}
  DEBUG [21:52:59.301] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:59.314] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:59.318] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:52:59.323] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3) 
  DEBUG [21:52:59.342] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 18, 21, 22, 30, 31, 32, 35, 37, 39, 41, 48, 52, 57, 60, 62, 65, 66, 70, 75, 76, 81, 83, 85, 87, 89, 90, 92, 96, 98, 101, 102, 105, 108, 116, 117, 118, 119, 120, 131, 134, 136, 137, 140, 144, 145, 147, 149, 159, 160, 163, 169, 173, 175, 17..]}
  DEBUG [21:52:59.351] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:59.363] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:52:59.370] Creating Prediction for predict set 'test' 
  DEBUG [21:52:59.383] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 5, 6, 10, 11, 15, 16, 17, 23, 24, 27, 29, 38, 42, 45, 46, 50, 51, 53, 54, 55, 56, 67, 68, 69, 71, 73, 74, 78, 79, 86, 91, 93, 94, 97, 103, 104, 111, 115, 124, 125, 126, 127, 128, 129, 130, 132, 133, 139, 141, 142, 150, 151, 153, 154..]}
  DEBUG [21:52:59.398] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:52:59.419] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:52:59.425] Erasing stored model for learner 'classif.featureless' 
  DEBUG [21:52:59.911] Running resample() via future with 3 iterations 
  INFO  [21:53:00.018] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [21:53:00.052] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 16, 17, 18, 21, 23, 24, 25, 28, 32, 33, 38, 39, 40, 41, 52, 53, 54, 56, 60, 63, 64, 75, 77, 81, 88, 95, 101, 102, 104, 107, 108, 113, 117, 118, 119, 120, 124, 127, 128, 134, 138, 140, 143, 144, 147, 149, 152, 153, 155, 156, 158..]}
  DEBUG [21:53:00.068] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.092] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:00.097] Creating Prediction for predict set 'test' 
  DEBUG [21:53:00.112] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 22, 29, 31, 34, 35, 36, 37, 44, 45, 48, 51, 57, 59, 61, 67, 68, 69, 70, 71, 72, 73, 74, 76, 78, 80, 82, 83, 84, 85, 89, 92, 93, 94, 98, 99, 103, 106, 112, 125, 129, 130, 141, 142, 145, 154, 157, 159, 162, 166, 167, 169, 171, 17..]}
  DEBUG [21:53:00.127] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.153] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:00.163] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:00.173] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [21:53:00.216] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 22, 29, 31, 34, 35, 36, 37, 44, 45, 48, 51, 57, 59, 61, 67, 68, 69, 70, 71, 72, 73, 74, 76, 78, 80, 82, 83, 84, 85, 89, 92, 93, 94, 98, 99, 103, 106, 112, 125, 129, 130, 141, 142, 145, 154, 157, 159, 162, 166, 167, 169, 171, 17..]}
  DEBUG [21:53:00.236] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.261] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:00.265] Creating Prediction for predict set 'test' 
  DEBUG [21:53:00.273] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 16, 17, 18, 21, 23, 24, 25, 28, 32, 33, 38, 39, 40, 41, 52, 53, 54, 56, 60, 63, 64, 75, 77, 81, 88, 95, 101, 102, 104, 107, 108, 113, 117, 118, 119, 120, 124, 127, 128, 134, 138, 140, 143, 144, 147, 149, 152, 153, 155, 156, 158..]}
  DEBUG [21:53:00.282] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.297] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:00.302] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:00.308] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [21:53:00.331] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 22, 29, 31, 34, 35, 36, 37, 44, 45, 48, 51, 57, 59, 61, 67, 68, 69, 70, 71, 72, 73, 74, 76, 78, 80, 82, 83, 84, 85, 89, 92, 93, 94, 98, 99, 103, 106, 112, 125, 129, 130, 141, 142, 145, 154, 157, 159, 162, 166, 167, 169, 171, 17..]}
  DEBUG [21:53:00.345] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.364] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:00.371] Creating Prediction for predict set 'test' 
  DEBUG [21:53:00.382] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 11, 12, 13, 15, 19, 20, 26, 27, 30, 42, 43, 46, 47, 49, 50, 55, 58, 62, 65, 66, 79, 86, 87, 90, 91, 96, 97, 100, 105, 109, 110, 111, 114, 115, 116, 121, 122, 123, 126, 131, 132, 133, 135, 136, 137, 139, 146, 148, 150, 151, 161, 164..]}
  DEBUG [21:53:00.396] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.417] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:00.423] Erasing stored model for learner 'classif.debug' 
  DEBUG [21:53:00.556] Running resample() via future with 3 iterations 
  INFO  [21:53:00.627] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [21:53:00.672] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 16, 17, 18, 21, 23, 24, 25, 28, 32, 33, 38, 39, 40, 41, 52, 53, 54, 56, 60, 63, 64, 75, 77, 81, 88, 95, 101, 102, 104, 107, 108, 113, 117, 118, 119, 120, 124, 127, 128, 134, 138, 140, 143, 144, 147, 149, 152, 153, 155, 156, 158..]}
  DEBUG [21:53:00.692] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.714] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:00.719] Creating Prediction for predict set 'test' 
  DEBUG [21:53:00.726] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 22, 29, 31, 34, 35, 36, 37, 44, 45, 48, 51, 57, 59, 61, 67, 68, 69, 70, 71, 72, 73, 74, 76, 78, 80, 82, 83, 84, 85, 89, 92, 93, 94, 98, 99, 103, 106, 112, 125, 129, 130, 141, 142, 145, 154, 157, 159, 162, 166, 167, 169, 171, 17..]}
  DEBUG [21:53:00.734] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.747] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:00.751] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:00.755] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [21:53:00.773] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 22, 29, 31, 34, 35, 36, 37, 44, 45, 48, 51, 57, 59, 61, 67, 68, 69, 70, 71, 72, 73, 74, 76, 78, 80, 82, 83, 84, 85, 89, 92, 93, 94, 98, 99, 103, 106, 112, 125, 129, 130, 141, 142, 145, 154, 157, 159, 162, 166, 167, 169, 171, 17..]}
  DEBUG [21:53:00.781] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.792] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:00.797] Creating Prediction for predict set 'test' 
  DEBUG [21:53:00.814] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 16, 17, 18, 21, 23, 24, 25, 28, 32, 33, 38, 39, 40, 41, 52, 53, 54, 56, 60, 63, 64, 75, 77, 81, 88, 95, 101, 102, 104, 107, 108, 113, 117, 118, 119, 120, 124, 127, 128, 134, 138, 140, 143, 144, 147, 149, 152, 153, 155, 156, 158..]}
  DEBUG [21:53:00.824] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.848] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:00.857] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:00.867] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [21:53:00.908] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 22, 29, 31, 34, 35, 36, 37, 44, 45, 48, 51, 57, 59, 61, 67, 68, 69, 70, 71, 72, 73, 74, 76, 78, 80, 82, 83, 84, 85, 89, 92, 93, 94, 98, 99, 103, 106, 112, 125, 129, 130, 141, 142, 145, 154, 157, 159, 162, 166, 167, 169, 171, 17..]}
  DEBUG [21:53:00.932] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.952] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:00.963] Creating Prediction for predict set 'test' 
  DEBUG [21:53:00.971] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 11, 12, 13, 15, 19, 20, 26, 27, 30, 42, 43, 46, 47, 49, 50, 55, 58, 62, 65, 66, 79, 86, 87, 90, 91, 96, 97, 100, 105, 109, 110, 111, 114, 115, 116, 121, 122, 123, 126, 131, 132, 133, 135, 136, 137, 139, 146, 148, 150, 151, 161, 164..]}
  DEBUG [21:53:00.979] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:00.993] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:00.997] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:01.512] Benchmark with 6 resampling iterations 
  DEBUG [21:53:01.517] Running benchmark() asynchronously with 6 iterations 
  INFO  [21:53:01.785] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [21:53:02.170] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 7, 9, 10, 12, 15, 17, 21, 24, 29, 32, 33, 36, 37, 38, 40, 48, 50, 53, 61, 62, 65, 67, 69, 72, 78, 81, 83, 87, 89, 94, 95, 102, 104, 105, 106, 107, 111, 114, 115, 124, 127, 132, 133, 142, 144, 145, 147, 4, 5, 8, 13, 14, 19, 20, 23, 2..]}
  DEBUG [21:53:02.389] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:53:02.623] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:53:02.688] Creating Prediction for predict set 'test' 
  DEBUG [21:53:02.802] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 11, 16, 18, 22, 25, 28, 30, 31, 35, 42, 44, 45, 46, 47, 49, 51, 52, 55, 56, 59, 60, 66, 68, 73, 74, 75, 80, 82, 85, 90, 91, 97, 99, 108, 109, 110, 118, 119, 125, 131, 134, 135, 137, 138, 139, 143, 148, 149, 150]}
  DEBUG [21:53:02.910] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:53:03.088] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:03.140] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:53:03.187] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [21:53:03.392] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 11, 16, 18, 22, 25, 28, 30, 31, 35, 42, 44, 45, 46, 47, 49, 51, 52, 55, 56, 59, 60, 66, 68, 73, 74, 75, 80, 82, 85, 90, 91, 97, 99, 108, 109, 110, 118, 119, 125, 131, 134, 135, 137, 138, 139, 143, 148, 149, 150, 4, 5, 8, 13, 14, 19, 20, 2..]}
  DEBUG [21:53:03.487] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:53:03.597] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:53:03.640] Creating Prediction for predict set 'test' 
  DEBUG [21:53:03.715] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 7, 9, 10, 12, 15, 17, 21, 24, 29, 32, 33, 36, 37, 38, 40, 48, 50, 53, 61, 62, 65, 67, 69, 72, 78, 81, 83, 87, 89, 94, 95, 102, 104, 105, 106, 107, 111, 114, 115, 124, 127, 132, 133, 142, 144, 145, 147]}
  DEBUG [21:53:03.807] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:53:03.897] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:03.941] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:53:03.984] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [21:53:04.146] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 7, 12, 15, 21, 29, 30, 32, 35, 38, 41, 42, 44, 47, 55, 56, 59, 61, 62, 65, 68, 71, 74, 76, 79, 84, 88, 90, 92, 98, 99, 100, 103, 104, 106, 112, 116, 120, 128, 129, 134, 136, 138, 139, 144, 150, 152, 153, 157, 164, 168, 169, 170, 174..]}
  DEBUG [21:53:04.230] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:04.345] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:04.386] Creating Prediction for predict set 'test' 
  DEBUG [21:53:04.439] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 9, 16, 17, 19, 20, 22, 23, 25, 26, 28, 34, 40, 48, 49, 51, 52, 53, 67, 72, 73, 77, 78, 80, 81, 82, 83, 85, 93, 94, 97, 102, 107, 108, 109, 113, 115, 118, 125, 126, 127, 131, 132, 133, 135, 137, 141, 146, 151, 156, 160, 161, 165, 167, 1..]}
  DEBUG [21:53:04.493] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:04.582] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:04.615] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:02.103] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [21:53:02.631] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 7, 9, 10, 12, 15, 17, 21, 24, 29, 32, 33, 36, 37, 38, 40, 48, 50, 53, 61, 62, 65, 67, 69, 72, 78, 81, 83, 87, 89, 94, 95, 102, 104, 105, 106, 107, 111, 114, 115, 124, 127, 132, 133, 142, 144, 145, 147, 3, 11, 16, 18, 22, 25, 28, 30..]}
  DEBUG [21:53:02.839] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:53:03.072] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [21:53:03.153] Creating Prediction for predict set 'test' 
  DEBUG [21:53:03.274] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 5, 8, 13, 14, 19, 20, 23, 26, 27, 34, 39, 41, 43, 54, 57, 58, 63, 64, 70, 71, 76, 77, 79, 84, 86, 88, 92, 93, 96, 98, 100, 101, 103, 112, 113, 116, 117, 120, 121, 122, 123, 126, 128, 129, 130, 136, 140, 141, 146]}
  DEBUG [21:53:03.426] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [21:53:03.621] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:03.678] Erasing stored model for learner 'classif.featureless' 
  INFO  [21:53:03.751] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [21:53:03.996] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 7, 12, 15, 21, 29, 30, 32, 35, 38, 41, 42, 44, 47, 55, 56, 59, 61, 62, 65, 68, 71, 74, 76, 79, 84, 88, 90, 92, 98, 99, 100, 103, 104, 106, 112, 116, 120, 128, 129, 134, 136, 138, 139, 144, 150, 152, 153, 157, 164, 168, 169, 170, 174..]}
  DEBUG [21:53:04.116] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:04.259] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:04.305] Creating Prediction for predict set 'test' 
  DEBUG [21:53:04.372] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 8, 10, 11, 13, 14, 18, 24, 27, 31, 33, 36, 37, 39, 43, 45, 46, 50, 54, 57, 58, 60, 63, 64, 66, 69, 70, 75, 86, 87, 89, 91, 95, 96, 101, 105, 110, 111, 114, 117, 119, 121, 122, 123, 124, 130, 140, 142, 143, 145, 147, 148, 149, 154, 155, 15..]}
  DEBUG [21:53:04.454] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:04.571] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:04.623] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:04.685] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [21:53:04.891] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 9, 16, 17, 19, 20, 22, 23, 25, 26, 28, 34, 40, 48, 49, 51, 52, 53, 67, 72, 73, 77, 78, 80, 81, 82, 83, 85, 93, 94, 97, 102, 107, 108, 109, 113, 115, 118, 125, 126, 127, 131, 132, 133, 135, 137, 141, 146, 151, 156, 160, 161, 165, 167, 1..]}
  DEBUG [21:53:05.002] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:05.120] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [21:53:05.146] Creating Prediction for predict set 'test' 
  DEBUG [21:53:05.173] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 7, 12, 15, 21, 29, 30, 32, 35, 38, 41, 42, 44, 47, 55, 56, 59, 61, 62, 65, 68, 71, 74, 76, 79, 84, 88, 90, 92, 98, 99, 100, 103, 104, 106, 112, 116, 120, 128, 129, 134, 136, 138, 139, 144, 150, 152, 153, 157, 164, 168, 169, 170, 174..]}
  DEBUG [21:53:05.226] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [21:53:05.291] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:05.315] Erasing stored model for learner 'classif.debug' 
  INFO  [21:53:05.411] Finished benchmark 
  DEBUG [21:53:06.093] Running resample() via future with 1 iterations 
  INFO  [21:53:06.309] Applying learner 'classif.rpart' on task 'pima' (iter 1/1) 
  DEBUG [21:53:06.487] Subsetting task 'pima' to 512 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [522, 341, 720, 80, 339, 323, 280, 326, 627, 668, 638, 557, 51, 201, 22, 752, 220, 103, 209, 600, 410, 497, 365, 62, 441, 506, 43, 380, 746, 612, 581, 292, 295, 531, 426, 126, 353, 122, 64, 30, 140, 579, 83, 483, 680, 416, 674, 389, 286, 623..]}
  DEBUG [21:53:06.593] Calling train method of Learner 'classif.rpart' on task 'pima' with 512 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:06.822] Learner 'classif.rpart' on task 'pima' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:53:06.867] Creating Prediction for predict set 'test' 
  DEBUG [21:53:06.924] Subsetting task 'pima' to 256 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 10, 11, 15, 16, 17, 19, 21, 26, 27, 28, 36, 41, 45, 47, 54, 55, 58, 67, 70, 72, 75, 79, 88, 89, 91, 95, 100, 108, 110, 113, 119, 120, 123, 128, 133, 134, 141, 142, 143, 144, 145, 151, 154, 158, 159, 162, 165, 166, 170, 171, 173, 176, 177..]}
  DEBUG [21:53:07.010] Calling predict method of Learner 'classif.rpart' on task 'pima' with 256 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:07.192] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:07.224] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:53:08.014] Benchmark with 3 resampling iterations 
  DEBUG [21:53:08.020] Running benchmark() asynchronously with 3 iterations 
  INFO  [21:53:08.202] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [21:53:08.413] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [35, 139, 131, 78, 129, 128, 110, 79, 106, 29, 134, 117, 46, 113, 51, 132, 123, 137, 32, 8, 52, 143, 48, 42, 38, 150, 142, 21, 84, 135, 67, 115, 100, 96, 75, 146, 104, 91, 30, 136, 57, 85, 45, 1, 16, 94, 114, 60, 88, 70, 81, 121, 125, 120, 86..]}
  DEBUG [21:53:08.536] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:08.807] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:53:08.845] Creating Prediction for predict set 'test' 
  DEBUG [21:53:08.913] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 10, 11, 17, 18, 19, 20, 22, 23, 24, 26, 27, 31, 34, 37, 43, 47, 50, 54, 55, 56, 58, 59, 61, 65, 66, 68, 69, 71, 76, 93, 95, 97, 98, 99, 102, 103, 107, 108, 111, 112, 116, 122, 130, 133, 138, 141, 144, 145, 149]}
  DEBUG [21:53:08.999] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:09.861] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:09.957] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:53:08.313] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [21:53:08.541] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [35, 139, 131, 78, 129, 128, 110, 79, 106, 29, 134, 117, 46, 113, 51, 132, 123, 137, 32, 8, 52, 143, 48, 42, 38, 150, 142, 21, 84, 135, 67, 115, 100, 96, 75, 146, 104, 91, 30, 136, 57, 85, 45, 1, 16, 94, 114, 60, 88, 70, 81, 121, 125, 120, 86..]}
  DEBUG [21:53:08.637] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:08.916] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:53:08.971] Creating Prediction for predict set 'test' 
  DEBUG [21:53:09.558] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 10, 11, 17, 18, 19, 20, 22, 23, 24, 26, 27, 31, 34, 37, 43, 47, 50, 54, 55, 56, 58, 59, 61, 65, 66, 68, 69, 71, 76, 93, 95, 97, 98, 99, 102, 103, 107, 108, 111, 112, 116, 122, 130, 133, 138, 141, 144, 145, 149]}
  DEBUG [21:53:09.896] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:10.363] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:10.472] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:53:10.558] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [21:53:10.792] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [35, 139, 131, 78, 129, 128, 110, 79, 106, 29, 134, 117, 46, 113, 51, 132, 123, 137, 32, 8, 52, 143, 48, 42, 38, 150, 142, 21, 84, 135, 67, 115, 100, 96, 75, 146, 104, 91, 30, 136, 57, 85, 45, 1, 16, 94, 114, 60, 88, 70, 81, 121, 125, 120, 86..]}
  DEBUG [21:53:10.904] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:11.146] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [21:53:11.184] Creating Prediction for predict set 'test' 
  DEBUG [21:53:11.275] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 10, 11, 17, 18, 19, 20, 22, 23, 24, 26, 27, 31, 34, 37, 43, 47, 50, 54, 55, 56, 58, 59, 61, 65, 66, 68, 69, 71, 76, 93, 95, 97, 98, 99, 102, 103, 107, 108, 111, 112, 116, 122, 130, 133, 138, 141, 144, 145, 149]}
  DEBUG [21:53:11.366] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [21:53:11.529] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [21:53:11.577] Erasing stored model for learner 'classif.rpart' 
  INFO  [21:53:11.675] Finished benchmark 
  ══ testthat results  ═══════════════════════════════════════════════════════════
  [ OK: 9363 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
  1. Error: log to text file (@test_lgr.R#10) 
  
  Error: testthat unit tests failed
  Execution halted
  Error while shutting down parallel: unable to terminate some child processes