Running ‘testthat.R’ [111s/132s]
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 [17:51:38.487] Skip subsetting of task 'iris' 
  DEBUG [17:51:38.562] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:38.590] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:51:38.604] Skip subsetting of task 'iris' 
  DEBUG [17:51:38.609] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:38.618] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:38.705] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]}
  DEBUG [17:51:38.714] Calling train method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:38.730] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:51:38.832] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}
  DEBUG [17:51:38.838] Calling predict method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:38.852] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:39.031] Running resample() via future with 1 iterations 
  INFO  [17:51:39.063] Applying learner 'classif.debug' on task 'iris' (iter 1/1) 
  DEBUG [17:51:39.074] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 73, 103, 3, 131, 48, 45, 113, 89, 138, 18, 91, 117, 25, 97, 122, 110, 98, 92, 116, 144, 62, 27, 24, 65, 23, 8, 146, 2, 53, 39, 52, 54, 7, 9, 72, 4, 80, 31, 69, 30, 68, 12, 70, 13, 107, 75, 55, 50, 90, 137, 78, 41, 115, 123, 86, 74, 135, 2..]}
  DEBUG [17:51:39.080] Calling train method of Learner 'classif.debug' on task 'iris' with 100 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:39.093] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:51:39.097] Creating Prediction for predict set 'test' 
  DEBUG [17:51:39.102] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 11, 14, 17, 22, 29, 33, 34, 37, 40, 42, 43, 49, 60, 63, 64, 67, 71, 76, 77, 81, 82, 83, 85, 87, 93, 99, 100, 101, 102, 105, 106, 108, 111, 114, 118, 120, 121, 124, 128, 129, 132, 136, 140, 141, 142, 143, 145, 147, 148]}
  DEBUG [17:51:39.109] Calling predict method of Learner 'classif.debug' on task 'iris' with 50 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:39.122] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:39.283] Skip subsetting of task 'iris' 
  DEBUG [17:51:39.288] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:39.315] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:51:39.346] Skip subsetting of task 'iris' 
  DEBUG [17:51:39.351] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:39.378] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:39.483] Skip subsetting of task 'iris' 
  DEBUG [17:51:39.490] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:39.503] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:51:39.521] Skip subsetting of task 'iris' 
  DEBUG [17:51:39.527] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:51:39.540] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.322] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:40.327] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.341] 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 [17:51:40.357] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:40.362] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.377] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.403] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:40.409] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.422] 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 [17:51:40.437] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:40.443] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.457] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.483] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:40.489] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.503] 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 [17:51:40.518] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:40.524] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.538] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.564] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:40.569] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.583] 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 [17:51:40.598] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:40.603] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.617] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.644] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:40.650] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.671] 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 [17:51:40.690] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:40.696] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.712] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.740] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:40.746] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.761] 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 [17:51:40.777] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:40.782] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.797] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.825] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [17:51:40.830] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.845] 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 [17:51:40.860] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [17:51:40.865] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.910] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:40.943] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [17:51:40.951] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:40.968] 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 [17:51:40.989] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [17:51:40.996] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.012] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.039] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:41.044] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.057] 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 [17:51:41.071] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:41.076] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.090] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.115] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:41.121] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.134] 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 [17:51:41.149] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:41.155] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.170] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.201] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:41.206] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.220] 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 [17:51:41.235] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:41.241] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.266] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.291] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:41.296] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.309] 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 [17:51:41.324] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:41.329] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.343] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.368] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [17:51:41.373] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.387] 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 [17:51:41.402] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [17:51:41.407] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.421] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.446] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [17:51:41.451] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.464] 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 [17:51:41.478] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [17:51:41.484] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.515] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.573] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.579] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.609] 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 [17:51:41.624] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.630] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.662] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.704] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.710] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.732] 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 [17:51:41.750] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.756] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.773] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.809] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.816] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.831] 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 [17:51:41.851] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.856] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.871] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.904] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.909] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.922] 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 [17:51:41.937] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:41.942] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:41.956] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:41.989] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:41.995] Calling train method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.017] Learner 'classif.featureless:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:42.042] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:42.047] Calling predict method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.071] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.097] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:42.103] Calling train method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.126] Learner 'classif.featureless:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:42.154] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:42.159] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.185] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.214] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:42.221] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.245] 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 [17:51:42.272] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:42.279] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.304] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.332] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:42.338] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.360] 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 [17:51:42.383] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:42.389] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.412] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.440] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:42.445] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.459] 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 [17:51:42.482] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:42.488] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.503] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.578] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:42.601] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.616] 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 [17:51:42.635] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:42.641] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.658] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.688] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:42.694] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.708] 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 [17:51:42.724] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:42.730] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.744] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.770] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:42.776] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.790] 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 [17:51:42.807] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:42.813] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.829] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.854] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:42.859] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.875] 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 [17:51:42.890] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:42.895] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.910] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:42.936] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:42.941] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.954] 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 [17:51:42.970] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:42.976] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:42.990] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.016] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [17:51:43.021] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.035] 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 [17:51:43.050] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [17:51:43.056] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.070] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.098] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [17:51:43.104] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.118] 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 [17:51:43.133] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [17:51:43.141] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.155] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.182] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:43.188] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.201] 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 [17:51:43.217] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:43.222] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.236] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.265] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:43.271] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.285] 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 [17:51:43.310] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:43.316] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.334] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.366] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:43.372] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.388] 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 [17:51:43.408] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:43.414] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.430] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.457] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:43.463] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.476] 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 [17:51:43.492] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:43.498] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.513] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.541] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [17:51:43.547] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.560] 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 [17:51:43.576] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [17:51:43.581] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.597] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.623] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [17:51:43.627] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.641] 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 [17:51:43.657] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [17:51:43.663] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.676] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.704] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.709] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.721] 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 [17:51:43.736] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.741] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.754] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.778] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.783] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.796] 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 [17:51:43.810] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.822] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.840] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.873] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.878] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.892] 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 [17:51:43.907] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.912] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.926] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:43.953] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.958] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:43.972] 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 [17:51:43.986] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:43.992] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.005] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.069] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:44.076] Calling train method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.104] Learner 'classif.featureless:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:44.131] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:44.137] Calling predict method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.163] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.187] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:44.192] Calling train method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.214] Learner 'classif.featureless:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:44.236] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:44.241] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.263] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.287] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:44.292] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.313] 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 [17:51:44.336] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:44.341] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.364] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.389] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:44.394] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.415] 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 [17:51:44.437] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:44.443] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.465] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.532] Skip subsetting of task 'iris' 
  DEBUG [17:51:44.537] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.547] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:44.561] Skip subsetting of task 'iris' 
  DEBUG [17:51:44.566] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.575] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.586] Skip subsetting of task 'iris' 
  DEBUG [17:51:44.591] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.601] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.666] Skip subsetting of task 'iris' 
  DEBUG [17:51:44.671] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.681] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:44.695] Skip subsetting of task 'iris' 
  DEBUG [17:51:44.700] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.710] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.773] Running resample() via future with 1 iterations 
  INFO  [17:51:44.810] Applying learner 'classif.featureless' on task 'wine' (iter 1/1) 
  DEBUG [17:51:44.822] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [54, 133, 141, 145, 17, 121, 165, 128, 33, 116, 143, 79, 36, 43, 123, 101, 76, 107, 147, 77, 166, 46, 8, 66, 61, 62, 9, 137, 58, 18, 161, 12, 129, 50, 45, 151, 28, 91, 41, 112, 24, 120, 114, 126, 15, 13, 106, 113, 3, 7, 97, 164, 83, 173, 37..]}
  DEBUG [17:51:44.830] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.841] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:44.845] Creating Prediction for predict set 'test' 
  DEBUG [17:51:44.852] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 6, 10, 14, 19, 21, 25, 26, 27, 30, 39, 40, 42, 47, 49, 51, 53, 55, 57, 60, 63, 69, 71, 72, 75, 80, 82, 84, 86, 95, 96, 98, 99, 104, 108, 110, 115, 117, 124, 127, 132, 140, 142, 144, 146, 148, 149, 152, 153, 155, 156, 160, 169, 170, 171..]}
  DEBUG [17:51:44.860] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:44.870] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:44.874] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:51:45.821] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:45.826] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:45.846] Learner 'classif.rpart:response' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:45.860] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:45.865] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:45.882] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:45.917] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:45.922] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:45.941] Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:45.956] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [17:51:45.961] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:45.978] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.013] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:46.018] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.037] Learner 'classif.rpart:response' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.051] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:46.056] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.073] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.108] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:46.113] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.133] Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.160] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [17:51:46.166] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.187] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.230] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:46.236] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.258] Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.273] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:46.278] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.296] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.333] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:46.338] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.358] Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.373] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [17:51:46.378] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.398] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.436] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:46.441] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.463] Learner 'classif.rpart:response' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.478] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:46.483] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.501] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.536] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:46.541] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.561] Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.575] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [17:51:46.580] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.598] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.633] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:46.638] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.657] Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.671] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:46.676] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.694] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.732] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:46.737] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.755] Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.770] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [17:51:46.775] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.793] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.845] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:46.851] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.874] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.891] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:46.897] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.917] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:46.953] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:46.958] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:46.979] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:46.993] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:46.998] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.016] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.055] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:47.060] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.081] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.095] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:47.100] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.118] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.154] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:47.159] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.179] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.193] Skip subsetting of task 'feat_all_binary' 
  DEBUG [17:51:47.198] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.217] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.260] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:47.265] Calling train method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.294] Learner 'classif.rpart:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.315] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:47.320] Calling predict method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.350] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.386] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:47.391] Calling train method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.421] Learner 'classif.rpart:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.443] Skip subsetting of task 'missings_binary' 
  DEBUG [17:51:47.458] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.521] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.573] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:47.580] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.618] Learner 'classif.rpart:response' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.642] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:47.648] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.680] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.719] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:47.725] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.756] Learner 'classif.rpart:prob' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.780] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [17:51:47.786] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.821] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:47.860] Skip subsetting of task 'weights_binary' 
  DEBUG [17:51:47.866] Calling train method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.905] Learner 'classif.rpart:response' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:47.929] Skip subsetting of task 'weights_binary' 
  DEBUG [17:51:47.935] Calling predict method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:47.974] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.016] Skip subsetting of task 'weights_binary' 
  DEBUG [17:51:48.021] Calling train method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.061] Learner 'classif.rpart:prob' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.086] Skip subsetting of task 'weights_binary' 
  DEBUG [17:51:48.091] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.131] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.172] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:48.177] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.197] Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.212] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:48.286] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.308] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.355] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:48.362] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.386] Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.405] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [17:51:48.411] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.431] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.473] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:48.478] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.500] Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.515] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:48.520] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.537] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.574] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:48.580] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.600] Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.615] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [17:51:48.620] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.638] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.676] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:48.682] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.702] Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.717] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:48.723] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.741] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.779] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:48.785] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.804] Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.820] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [17:51:48.826] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.844] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.882] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:48.888] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.908] Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:48.924] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:48.929] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:48.949] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:48.987] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:48.993] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.024] Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.041] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [17:51:49.049] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.071] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.117] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:49.124] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.147] Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.164] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:49.169] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.188] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.226] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:49.231] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.251] Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.266] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [17:51:49.271] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.291] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.328] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.334] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.356] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.371] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.377] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.397] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.437] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.442] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.464] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.479] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.484] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.504] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.558] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.564] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.587] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.610] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.616] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.638] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.696] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.702] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.758] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:49.790] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [17:51:49.796] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.850] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:49.927] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:49.934] Calling train method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:49.973] Learner 'classif.rpart:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.000] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:50.007] Calling predict method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.048] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.089] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:50.094] Calling train method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.125] Learner 'classif.rpart:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.148] Skip subsetting of task 'missings_multiclass' 
  DEBUG [17:51:50.154] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.188] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.227] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:50.233] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.264] Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.288] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:50.294] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.329] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.369] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:50.375] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.408] Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.432] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [17:51:50.438] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.473] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.513] Skip subsetting of task 'weights_multiclass' 
  DEBUG [17:51:50.519] Calling train method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.557] Learner 'classif.rpart:response' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.580] Skip subsetting of task 'weights_multiclass' 
  DEBUG [17:51:50.586] Calling predict method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.627] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.667] Skip subsetting of task 'weights_multiclass' 
  DEBUG [17:51:50.672] Calling train method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.727] Learner 'classif.rpart:prob' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.755] Skip subsetting of task 'weights_multiclass' 
  DEBUG [17:51:50.762] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.808] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.854] Skip subsetting of task 'sanity' 
  DEBUG [17:51:50.860] Calling train method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.881] Learner 'classif.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:50.897] Skip subsetting of task 'sanity' 
  DEBUG [17:51:50.903] Calling predict method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.921] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:50.964] Skip subsetting of task 'sanity' 
  DEBUG [17:51:50.970] Calling train method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:50.993] Learner 'classif.rpart:prob' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:51.009] Skip subsetting of task 'sanity' 
  DEBUG [17:51:51.015] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.035] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:51.088] Skip subsetting of task 'sanity_reordered' 
  DEBUG [17:51:51.094] Calling train method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.116] Learner 'classif.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:51.133] Skip subsetting of task 'sanity_reordered' 
  DEBUG [17:51:51.139] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.157] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:51.203] Skip subsetting of task 'sanity_reordered' 
  DEBUG [17:51:51.209] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.230] Learner 'classif.rpart:prob' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:51.246] Skip subsetting of task 'sanity_reordered' 
  DEBUG [17:51:51.252] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.272] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:51.319] Skip subsetting of task 'sanity_switched' 
  DEBUG [17:51:51.325] Calling train method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.347] Learner 'classif.rpart:response' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:51.364] Skip subsetting of task 'sanity_switched' 
  DEBUG [17:51:51.369] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.387] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:51.432] Skip subsetting of task 'sanity_switched' 
  DEBUG [17:51:51.437] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.470] Learner 'classif.rpart:prob' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:51.489] Skip subsetting of task 'sanity_switched' 
  DEBUG [17:51:51.495] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.519] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:51.608] Skip subsetting of task 'foo' 
  DEBUG [17:51:51.614] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.632] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:51.713] Skip subsetting of task 'foo' 
  DEBUG [17:51:51.719] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:51:51.736] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:52.015] Skip subsetting of task 'feat_single_logical' 
  DEBUG [17:51:52.021] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.035] 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 [17:51:52.051] Skip subsetting of task 'feat_single_logical' 
  DEBUG [17:51:52.057] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.070] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.096] Skip subsetting of task 'feat_single_logical' 
  DEBUG [17:51:52.102] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.117] 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 [17:51:52.133] Skip subsetting of task 'feat_single_logical' 
  DEBUG [17:51:52.139] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.152] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.178] Skip subsetting of task 'feat_single_integer' 
  DEBUG [17:51:52.183] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.198] 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 [17:51:52.213] Skip subsetting of task 'feat_single_integer' 
  DEBUG [17:51:52.219] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.232] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.267] Skip subsetting of task 'feat_single_integer' 
  DEBUG [17:51:52.274] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.291] 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 [17:51:52.325] Skip subsetting of task 'feat_single_integer' 
  DEBUG [17:51:52.336] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.358] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.393] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [17:51:52.400] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.418] 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 [17:51:52.435] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [17:51:52.441] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.455] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.481] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [17:51:52.487] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.501] 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 [17:51:52.517] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [17:51:52.523] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.537] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.563] Skip subsetting of task 'feat_single_character' 
  DEBUG [17:51:52.568] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.593] 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 [17:51:52.609] Skip subsetting of task 'feat_single_character' 
  DEBUG [17:51:52.615] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.629] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.656] Skip subsetting of task 'feat_single_character' 
  DEBUG [17:51:52.662] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.677] 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 [17:51:52.692] Skip subsetting of task 'feat_single_character' 
  DEBUG [17:51:52.698] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.711] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.736] Skip subsetting of task 'feat_single_factor' 
  DEBUG [17:51:52.742] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.756] 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 [17:51:52.772] Skip subsetting of task 'feat_single_factor' 
  DEBUG [17:51:52.777] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.791] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.817] Skip subsetting of task 'feat_single_factor' 
  DEBUG [17:51:52.823] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.836] 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 [17:51:52.852] Skip subsetting of task 'feat_single_factor' 
  DEBUG [17:51:52.859] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.873] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.899] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [17:51:52.905] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.919] 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 [17:51:52.934] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [17:51:52.939] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:52.953] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:52.980] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [17:51:52.986] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.000] 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 [17:51:53.015] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [17:51:53.021] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.036] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.063] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [17:51:53.068] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.101] 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 [17:51:53.119] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [17:51:53.126] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.141] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.171] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [17:51:53.178] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.193] 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 [17:51:53.211] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [17:51:53.217] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.231] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.256] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.262] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.276] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:53.291] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.297] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.310] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.337] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.343] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.358] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:53.375] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.381] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.394] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.421] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.427] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.441] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:53.456] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.462] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.477] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.502] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.508] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.523] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:53.540] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:53.546] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.561] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.589] Skip subsetting of task 'missings' 
  DEBUG [17:51:53.595] Calling train method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.618] Learner 'regr.featureless:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:53.641] Skip subsetting of task 'missings' 
  DEBUG [17:51:53.646] Calling predict method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.668] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.694] Skip subsetting of task 'missings' 
  DEBUG [17:51:53.699] Calling train method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.721] Learner 'regr.featureless:se' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:53.743] Skip subsetting of task 'missings' 
  DEBUG [17:51:53.748] Calling predict method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.777] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.801] Skip subsetting of task 'missings_each_row' 
  DEBUG [17:51:53.807] Calling train method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.831] 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 [17:51:53.861] Skip subsetting of task 'missings_each_row' 
  DEBUG [17:51:53.869] Calling predict method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.895] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:53.924] Skip subsetting of task 'missings_each_row' 
  DEBUG [17:51:53.930] Calling train method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:53.957] 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 [17:51:53.984] Skip subsetting of task 'missings_each_row' 
  DEBUG [17:51:53.991] Calling predict method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:54.014] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:54.077] Running resample() via future with 1 iterations 
  INFO  [17:51:54.109] Applying learner 'regr.featureless' on task 'mtcars' (iter 1/1) 
  DEBUG [17:51:54.121] Subsetting task 'mtcars' to 21 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [6, 31, 28, 4, 2, 22, 18, 32, 24, 20, 10, 16, 5, 14, 26, 3, 29, 21, 13, 19, 11]}
  DEBUG [17:51:54.128] Calling train method of Learner 'regr.featureless' on task 'mtcars' with 21 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:54.137] Learner 'regr.featureless' on task 'mtcars' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [17:51:54.141] Creating Prediction for predict set 'test' 
  DEBUG [17:51:54.147] Subsetting task 'mtcars' to 11 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [1, 7, 8, 9, 12, 15, 17, 23, 25, 27, 30]}
  DEBUG [17:51:54.153] Calling predict method of Learner 'regr.featureless' on task 'mtcars' with 11 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [17:51:54.163] Learner 'regr.featureless' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:54.166] Erasing stored model for learner 'regr.featureless' 
  DEBUG [17:51:55.030] Skip subsetting of task 'feat_single_logical' 
  DEBUG [17:51:55.036] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.056] Learner 'regr.rpart:response' on task 'feat_single_logical' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.071] Skip subsetting of task 'feat_single_logical' 
  DEBUG [17:51:55.077] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.097] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.140] Skip subsetting of task 'feat_single_integer' 
  DEBUG [17:51:55.147] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.169] Learner 'regr.rpart:response' on task 'feat_single_integer' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.186] Skip subsetting of task 'feat_single_integer' 
  DEBUG [17:51:55.192] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.211] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.249] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [17:51:55.255] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.275] Learner 'regr.rpart:response' on task 'feat_single_numeric' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.291] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [17:51:55.297] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.315] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.353] Skip subsetting of task 'feat_single_factor' 
  DEBUG [17:51:55.358] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.379] Learner 'regr.rpart:response' on task 'feat_single_factor' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.407] Skip subsetting of task 'feat_single_factor' 
  DEBUG [17:51:55.414] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.433] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.477] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [17:51:55.483] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.504] Learner 'regr.rpart:response' on task 'feat_single_ordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.522] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [17:51:55.528] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.547] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.585] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:55.590] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.611] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.626] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:55.632] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.650] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.687] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:55.692] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.712] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.727] Skip subsetting of task 'feat_all' 
  DEBUG [17:51:55.732] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.751] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.793] Skip subsetting of task 'missings' 
  DEBUG [17:51:55.799] Calling train method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.829] Learner 'regr.rpart:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.851] Skip subsetting of task 'missings' 
  DEBUG [17:51:55.857] Calling predict method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.888] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:55.927] Skip subsetting of task 'missings_each_row' 
  DEBUG [17:51:55.932] Calling train method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:55.962] Learner 'regr.rpart:response' on task 'missings_each_row' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:55.984] Skip subsetting of task 'missings_each_row' 
  DEBUG [17:51:55.989] Calling predict method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.019] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:56.056] Skip subsetting of task 'weights' 
  DEBUG [17:51:56.061] Calling train method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.095] Learner 'regr.rpart:response' on task 'weights' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:56.127] Skip subsetting of task 'weights' 
  DEBUG [17:51:56.133] Calling predict method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.173] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:56.218] Skip subsetting of task 'sanity' 
  DEBUG [17:51:56.224] Calling train method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.247] Learner 'regr.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:56.262] Skip subsetting of task 'sanity' 
  DEBUG [17:51:56.268] Calling predict method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.284] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:56.325] Skip subsetting of task 'sanity_reordered' 
  DEBUG [17:51:56.330] Calling train method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.349] Learner 'regr.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:56.364] Skip subsetting of task 'sanity_reordered' 
  DEBUG [17:51:56.369] Calling predict method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.402] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [17:51:56.502] Skip subsetting of task 'foo' 
  DEBUG [17:51:56.507] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.523] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:56.600] Skip subsetting of task 'foo' 
  DEBUG [17:51:56.605] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [17:51:56.622] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:51:59.283] Running resample() via future with 3 iterations 
  INFO  [17:51:59.341] Applying learner 'classif.featureless' on task 'wine' (iter 3/3) 
  DEBUG [17:51:59.357] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 9, 10, 11, 14, 15, 17, 20, 31, 33, 34, 35, 37, 39, 40, 41, 42, 43, 44, 47, 49, 50, 58, 61, 68, 72, 73, 74, 80, 82, 86, 90, 93, 97, 100, 103, 106, 111, 114, 115, 117, 119, 124, 133, 134, 136, 145, 148, 151, 153, 157, 159, 161, 165, 1..]}
  DEBUG [17:51:59.364] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.375] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:59.379] Creating Prediction for predict set 'test' 
  DEBUG [17:51:59.385] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 12, 22, 26, 28, 29, 45, 46, 51, 57, 60, 62, 63, 64, 67, 70, 71, 79, 81, 84, 87, 89, 91, 92, 94, 95, 96, 98, 101, 104, 105, 118, 120, 121, 122, 125, 127, 131, 135, 140, 142, 143, 144, 146, 147, 149, 152, 154, 155, 156, 158, 160, 163, 16..]}
  DEBUG [17:51:59.392] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.405] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:59.408] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:51:59.428] Applying learner 'classif.featureless' on task 'wine' (iter 2/3) 
  DEBUG [17:51:59.459] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 9, 10, 11, 14, 15, 17, 20, 31, 33, 34, 35, 37, 39, 40, 41, 42, 43, 44, 47, 49, 50, 58, 61, 68, 72, 73, 74, 80, 82, 86, 90, 93, 97, 100, 103, 106, 111, 114, 115, 117, 119, 124, 133, 134, 136, 145, 148, 151, 153, 157, 159, 161, 165, 1..]}
  DEBUG [17:51:59.465] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.474] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:59.494] Creating Prediction for predict set 'test' 
  DEBUG [17:51:59.500] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 5, 13, 16, 18, 19, 21, 23, 24, 25, 27, 30, 32, 36, 38, 48, 52, 53, 54, 55, 56, 59, 65, 66, 69, 75, 76, 77, 78, 83, 85, 88, 99, 102, 107, 108, 109, 110, 112, 113, 116, 123, 126, 128, 129, 130, 132, 137, 138, 139, 141, 150, 162, 166, 168..]}
  DEBUG [17:51:59.523] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.533] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:59.536] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:51:59.555] Applying learner 'classif.featureless' on task 'wine' (iter 1/3) 
  DEBUG [17:51:59.569] Subsetting task 'wine' to 118 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 5, 13, 16, 18, 19, 21, 23, 24, 25, 27, 30, 32, 36, 38, 48, 52, 53, 54, 55, 56, 59, 65, 66, 69, 75, 76, 77, 78, 83, 85, 88, 99, 102, 107, 108, 109, 110, 112, 113, 116, 123, 126, 128, 129, 130, 132, 137, 138, 139, 141, 150, 162, 166, 168..]}
  DEBUG [17:51:59.592] Calling train method of Learner 'classif.featureless' on task 'wine' with 118 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.601] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:59.621] Creating Prediction for predict set 'test' 
  DEBUG [17:51:59.627] Subsetting task 'wine' to 60 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 9, 10, 11, 14, 15, 17, 20, 31, 33, 34, 35, 37, 39, 40, 41, 42, 43, 44, 47, 49, 50, 58, 61, 68, 72, 73, 74, 80, 82, 86, 90, 93, 97, 100, 103, 106, 111, 114, 115, 117, 119, 124, 133, 134, 136, 145, 148, 151, 153, 157, 159, 161, 165, 1..]}
  DEBUG [17:51:59.633] Calling predict method of Learner 'classif.featureless' on task 'wine' with 60 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.658] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:59.661] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:51:59.882] Skip subsetting of task 'sonar' 
  DEBUG [17:51:59.887] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.897] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:51:59.911] Skip subsetting of task 'sonar' 
  DEBUG [17:51:59.916] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.927] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:51:59.980] Skip subsetting of task 'sonar' 
  DEBUG [17:51:59.986] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:51:59.995] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:00.010] Skip subsetting of task 'sonar' 
  DEBUG [17:52:00.016] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.025] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:00.065] Skip subsetting of task 'iris' 
  DEBUG [17:52:00.070] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.079] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:00.092] Skip subsetting of task 'iris' 
  DEBUG [17:52:00.097] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.107] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:00.144] Skip subsetting of task 'iris' 
  DEBUG [17:52:00.150] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.159] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:00.172] Skip subsetting of task 'iris' 
  DEBUG [17:52:00.177] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.186] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:00.295] Running resample() via future with 1 iterations 
  INFO  [17:52:00.324] Applying learner 'classif.rpart' on task 'sonar' (iter 1/1) 
  DEBUG [17:52:00.335] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [179, 8, 112, 89, 20, 204, 159, 181, 157, 170, 15, 51, 100, 34, 183, 133, 97, 111, 185, 47, 85, 58, 44, 203, 64, 137, 152, 79, 189, 115, 46, 165, 29, 24, 88, 83, 52, 123, 63, 45, 127, 177, 195, 116, 198, 65, 178, 11, 42, 190, 143, 7, 41, 2, 1..]}
  DEBUG [17:52:00.342] Calling train method of Learner 'classif.rpart' on task 'sonar' with 139 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.386] Learner 'classif.rpart' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:00.390] Creating Prediction for predict set 'test' 
  DEBUG [17:52:00.397] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 9, 10, 12, 14, 16, 19, 26, 28, 31, 37, 39, 40, 50, 53, 54, 56, 61, 62, 66, 67, 68, 70, 71, 76, 77, 78, 80, 84, 91, 95, 96, 105, 106, 108, 110, 113, 114, 120, 122, 125, 126, 134, 136, 139, 140, 141, 142, 146, 147, 148, 149, 155, 156, 161..]}
  DEBUG [17:52:00.405] Calling predict method of Learner 'classif.rpart' on task 'sonar' with 69 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:00.433] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [17:52:01.253] Benchmark with 1 resampling iterations 
  DEBUG [17:52:01.256] Running benchmark() asynchronously with 1 iterations 
  INFO  [17:52:01.276] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [17:52:01.287] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [83, 56, 89, 15, 105, 69, 102, 21, 98, 91, 18, 42, 99, 66, 28, 47, 64, 80, 23, 135, 8, 22, 149, 82, 43, 101, 116, 78, 119, 38, 41, 110, 115, 145, 37, 87, 33, 31, 125, 55, 65, 25, 73, 5, 70, 14, 36, 133, 74, 52, 27, 137, 51, 128, 35, 132, 126..]}
  DEBUG [17:52:01.294] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:01.310] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:01.313] Creating Prediction for predict set 'test' 
  DEBUG [17:52:01.319] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 6, 7, 11, 12, 13, 17, 24, 30, 32, 34, 39, 40, 44, 46, 53, 54, 59, 60, 61, 63, 67, 72, 77, 79, 81, 85, 86, 90, 92, 94, 95, 97, 100, 103, 111, 113, 117, 118, 123, 129, 136, 138, 139, 141, 142, 144, 147, 150]}
  DEBUG [17:52:01.325] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:01.339] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:01.342] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:01.348] Finished benchmark 
  DEBUG [17:52:09.660] Running resample() via future with 3 iterations 
  INFO  [17:52:11.686] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [17:52:11.804] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 7, 12, 14, 19, 20, 23, 38, 39, 40, 41, 52, 54, 55, 56, 59, 60, 68, 74, 77, 80, 83, 86, 87, 88, 92, 93, 97, 102, 104, 107, 108, 109, 110, 113, 117, 119, 120, 123, 124, 127, 129, 133, 134, 135, 137, 141, 143, 144, 148, 2, 4, 6, 9, 10, 11, 1..]}
  DEBUG [17:52:11.833] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:11.925] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:11.928] Creating Prediction for predict set 'test' 
  DEBUG [17:52:11.934] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 8, 15, 22, 25, 32, 34, 35, 36, 42, 45, 47, 50, 53, 57, 63, 64, 66, 69, 71, 72, 75, 76, 78, 79, 81, 82, 84, 85, 90, 95, 96, 98, 99, 100, 101, 111, 112, 115, 116, 121, 125, 130, 131, 136, 138, 145, 149, 150]}
  DEBUG [17:52:11.939] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:11.956] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:11.959] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:11.831] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [17:52:11.952] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 6, 9, 10, 11, 13, 16, 17, 18, 21, 24, 26, 27, 28, 29, 30, 31, 33, 37, 43, 44, 46, 48, 49, 51, 58, 61, 62, 65, 67, 70, 73, 89, 91, 94, 103, 105, 106, 114, 118, 122, 126, 128, 132, 139, 140, 142, 146, 147, 1, 3, 8, 15, 22, 25, 32, 34, 35..]}
  DEBUG [17:52:11.981] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:12.052] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:12.054] Creating Prediction for predict set 'test' 
  DEBUG [17:52:12.060] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 7, 12, 14, 19, 20, 23, 38, 39, 40, 41, 52, 54, 55, 56, 59, 60, 68, 74, 77, 80, 83, 86, 87, 88, 92, 93, 97, 102, 104, 107, 108, 109, 110, 113, 117, 119, 120, 123, 124, 127, 129, 133, 134, 135, 137, 141, 143, 144, 148]}
  DEBUG [17:52:12.066] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:12.082] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:12.085] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:12.088] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [17:52:12.102] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 7, 12, 14, 19, 20, 23, 38, 39, 40, 41, 52, 54, 55, 56, 59, 60, 68, 74, 77, 80, 83, 86, 87, 88, 92, 93, 97, 102, 104, 107, 108, 109, 110, 113, 117, 119, 120, 123, 124, 127, 129, 133, 134, 135, 137, 141, 143, 144, 148, 1, 3, 8, 15, 22, 25..]}
  DEBUG [17:52:12.108] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:12.125] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:12.127] Creating Prediction for predict set 'test' 
  DEBUG [17:52:12.132] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 6, 9, 10, 11, 13, 16, 17, 18, 21, 24, 26, 27, 28, 29, 30, 31, 33, 37, 43, 44, 46, 48, 49, 51, 58, 61, 62, 65, 67, 70, 73, 89, 91, 94, 103, 105, 106, 114, 118, 122, 126, 128, 132, 139, 140, 142, 146, 147]}
  DEBUG [17:52:12.138] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:12.151] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:12.154] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:13.797] Benchmark with 3 resampling iterations 
  DEBUG [17:52:13.801] Running benchmark() asynchronously with 3 iterations 
  INFO  [17:52:15.305] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [17:52:15.426] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 9, 13, 17, 20, 23, 26, 28, 40, 43, 48, 49, 56, 60, 66, 71, 73, 74, 78, 79, 80, 81, 85, 89, 91, 93, 97, 98, 99, 100, 103, 104, 105, 107, 111, 114, 122, 123, 127, 131, 133, 134, 136, 139, 141, 142, 147, 148, 149, 150, 3, 4, 7, 8, 10, 14, 15..]}
  DEBUG [17:52:15.456] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:15.532] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:15.535] Creating Prediction for predict set 'test' 
  DEBUG [17:52:15.541] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 11, 12, 16, 19, 21, 22, 25, 32, 33, 34, 36, 38, 39, 42, 44, 45, 47, 50, 51, 55, 57, 58, 61, 62, 67, 68, 83, 84, 87, 88, 92, 95, 101, 102, 106, 110, 116, 118, 119, 120, 121, 126, 130, 135, 143, 145, 146]}
  DEBUG [17:52:15.546] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:15.564] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:15.567] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:15.619] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [17:52:15.737] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 8, 10, 14, 15, 18, 24, 27, 29, 30, 31, 35, 37, 41, 46, 52, 53, 54, 59, 63, 64, 65, 69, 70, 72, 75, 76, 77, 82, 86, 90, 94, 96, 108, 109, 112, 113, 115, 117, 124, 125, 128, 129, 132, 137, 138, 140, 144, 1, 2, 6, 11, 12, 16, 19, 21, 2..]}
  DEBUG [17:52:15.766] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:15.840] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:15.842] Creating Prediction for predict set 'test' 
  DEBUG [17:52:15.848] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 9, 13, 17, 20, 23, 26, 28, 40, 43, 48, 49, 56, 60, 66, 71, 73, 74, 78, 79, 80, 81, 85, 89, 91, 93, 97, 98, 99, 100, 103, 104, 105, 107, 111, 114, 122, 123, 127, 131, 133, 134, 136, 139, 141, 142, 147, 148, 149, 150]}
  DEBUG [17:52:15.854] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:15.870] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:15.873] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:15.876] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [17:52:15.891] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 9, 13, 17, 20, 23, 26, 28, 40, 43, 48, 49, 56, 60, 66, 71, 73, 74, 78, 79, 80, 81, 85, 89, 91, 93, 97, 98, 99, 100, 103, 104, 105, 107, 111, 114, 122, 123, 127, 131, 133, 134, 136, 139, 141, 142, 147, 148, 149, 150, 1, 2, 6, 11, 12, 16, 1..]}
  DEBUG [17:52:15.897] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:15.913] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:15.931] Creating Prediction for predict set 'test' 
  DEBUG [17:52:15.937] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 8, 10, 14, 15, 18, 24, 27, 29, 30, 31, 35, 37, 41, 46, 52, 53, 54, 59, 63, 64, 65, 69, 70, 72, 75, 76, 77, 82, 86, 90, 94, 96, 108, 109, 112, 113, 115, 117, 124, 125, 128, 129, 132, 137, 138, 140, 144]}
  DEBUG [17:52:15.942] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:15.972] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:15.975] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:16.270] Finished benchmark 
  DEBUG [17:52:17.291] Running resample() via future with 3 iterations 
  INFO  [17:52:17.416] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [17:52:17.464] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 6, 7, 11, 13, 14, 15, 18, 19, 21, 22, 24, 27, 28, 29, 35, 40, 41, 45, 52, 53, 54, 58, 59, 60, 65, 66, 69, 73, 75, 76, 77, 85, 89, 92, 98, 101, 102, 103, 113, 116, 117, 118, 121, 123, 124, 128, 132, 141, 2, 9, 10, 12, 23, 25, 31, 33, 34..]}
  DEBUG [17:52:17.474] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:17.516] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:17.521] Creating Prediction for predict set 'test' 
  DEBUG [17:52:17.530] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 16, 17, 20, 26, 30, 32, 37, 43, 47, 48, 49, 51, 55, 56, 57, 68, 72, 74, 78, 79, 81, 83, 88, 90, 91, 93, 96, 97, 100, 105, 107, 115, 126, 129, 130, 134, 136, 137, 138, 140, 142, 143, 144, 146, 147, 148, 149]}
  DEBUG [17:52:17.539] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:17.558] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:17.563] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:17.496] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [17:52:17.522] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 16, 17, 20, 26, 30, 32, 37, 43, 47, 48, 49, 51, 55, 56, 57, 68, 72, 74, 78, 79, 81, 83, 88, 90, 91, 93, 96, 97, 100, 105, 107, 115, 126, 129, 130, 134, 136, 137, 138, 140, 142, 143, 144, 146, 147, 148, 149, 2, 9, 10, 12, 23, 25, 31..]}
  DEBUG [17:52:17.532] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:17.563] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:17.568] Creating Prediction for predict set 'test' 
  DEBUG [17:52:17.576] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 6, 7, 11, 13, 14, 15, 18, 19, 21, 22, 24, 27, 28, 29, 35, 40, 41, 45, 52, 53, 54, 58, 59, 60, 65, 66, 69, 73, 75, 76, 77, 85, 89, 92, 98, 101, 102, 103, 113, 116, 117, 118, 121, 123, 124, 128, 132, 141]}
  DEBUG [17:52:17.585] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:17.605] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:17.610] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:17.615] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [17:52:17.637] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 16, 17, 20, 26, 30, 32, 37, 43, 47, 48, 49, 51, 55, 56, 57, 68, 72, 74, 78, 79, 81, 83, 88, 90, 91, 93, 96, 97, 100, 105, 107, 115, 126, 129, 130, 134, 136, 137, 138, 140, 142, 143, 144, 146, 147, 148, 149, 3, 5, 6, 7, 11, 13, 14, 1..]}
  DEBUG [17:52:17.646] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:17.669] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:17.674] Creating Prediction for predict set 'test' 
  DEBUG [17:52:17.683] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 9, 10, 12, 23, 25, 31, 33, 34, 36, 38, 39, 42, 44, 46, 50, 61, 62, 63, 64, 67, 70, 71, 80, 82, 84, 86, 87, 94, 95, 99, 104, 106, 108, 109, 110, 111, 112, 114, 119, 120, 122, 125, 127, 131, 133, 135, 139, 145, 150]}
  DEBUG [17:52:17.691] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:17.710] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:17.715] Erasing stored model for learner 'classif.rpart' 
  DEBUG [17:52:19.244] Running resample() via future with 3 iterations 
  INFO  [17:52:19.276] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [17:52:19.293] 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 [17:52:19.300] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:19.311] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:19.314] Creating Prediction for predict set 'test' 
  DEBUG [17:52:19.320] 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 [17:52:19.327] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:19.337] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:19.341] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:19.344] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [17:52:19.359] 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 [17:52:19.367] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:19.377] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:19.380] Creating Prediction for predict set 'test' 
  DEBUG [17:52:19.386] 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 [17:52:19.393] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:19.403] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:19.407] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:19.410] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [17:52:19.425] 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 [17:52:19.432] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:19.441] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:19.445] Creating Prediction for predict set 'test' 
  DEBUG [17:52:19.451] 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 [17:52:19.458] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:19.471] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:19.475] Erasing stored model for learner 'classif.debug' 
  DEBUG [17:52:19.575] Running resample() via future with 3 iterations 
  INFO  [17:52:21.252] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [17:52:21.368] 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 [17:52:21.394] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:21.437] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:21.439] Creating Prediction for predict set 'test' 
  DEBUG [17:52:21.445] 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 [17:52:21.452] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:21.462] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:21.464] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:21.649] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [17:52:21.769] 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 [17:52:21.798] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:21.842] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:21.845] Creating Prediction for predict set 'test' 
  DEBUG [17:52:21.850] 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 [17:52:21.855] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:21.866] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:21.869] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:21.872] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [17:52:21.885] 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 [17:52:21.891] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:21.899] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:21.903] Creating Prediction for predict set 'test' 
  DEBUG [17:52:21.908] 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 [17:52:21.914] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:21.922] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:21.925] Erasing stored model for learner 'classif.debug' 
  DEBUG [17:52:22.472] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.482] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.494] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:22.544] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.551] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.568] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:22.615] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.622] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.639] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:22.678] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.684] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.702] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:22.740] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.746] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.757] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:22.806] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.812] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.831] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:22.872] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.878] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.894] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:22.935] Skip subsetting of task 'sonar' 
  DEBUG [17:52:22.942] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:22.958] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:23.023] Skip subsetting of task 'sonar' 
  DEBUG [17:52:23.030] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.048] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:23.121] Running resample() via future with 3 iterations 
  INFO  [17:52:23.164] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [17:52:23.181] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 9, 15, 17, 26, 29, 31, 38, 39, 41, 45, 46, 51, 53, 59, 61, 64, 70, 73, 74, 75, 76, 78, 82, 85, 86, 88, 91, 94, 95, 97, 98, 99, 102, 103, 104, 109, 112, 113, 129, 131, 134, 135, 136, 137, 139, 142, 143, 146, 149, 1, 5, 7, 8, 11, 13, 14, 16..]}
  DEBUG [17:52:23.189] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.198] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:23.201] Creating Prediction for predict set 'test' 
  DEBUG [17:52:23.208] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 6, 10, 12, 18, 19, 20, 21, 24, 27, 36, 40, 42, 44, 47, 57, 60, 62, 63, 65, 67, 68, 71, 72, 80, 83, 84, 87, 89, 90, 92, 93, 101, 105, 106, 107, 116, 117, 120, 121, 128, 130, 138, 140, 144, 145, 147, 148, 150]}
  DEBUG [17:52:23.215] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.225] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [17:52:23.230] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [17:52:23.247] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 6, 10, 12, 18, 19, 20, 21, 24, 27, 36, 40, 42, 44, 47, 57, 60, 62, 63, 65, 67, 68, 71, 72, 80, 83, 84, 87, 89, 90, 92, 93, 101, 105, 106, 107, 116, 117, 120, 121, 128, 130, 138, 140, 144, 145, 147, 148, 150, 4, 9, 15, 17, 26, 29, 31, 3..]}
  DEBUG [17:52:23.254] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.265] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:23.268] Creating Prediction for predict set 'test' 
  DEBUG [17:52:23.275] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 7, 8, 11, 13, 14, 16, 22, 23, 25, 28, 30, 32, 33, 34, 35, 37, 43, 48, 49, 50, 52, 54, 55, 56, 58, 66, 69, 77, 79, 81, 96, 100, 108, 110, 111, 114, 115, 118, 119, 122, 123, 124, 125, 126, 127, 132, 133, 141]}
  DEBUG [17:52:23.281] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.292] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [17:52:23.297] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [17:52:23.313] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 6, 10, 12, 18, 19, 20, 21, 24, 27, 36, 40, 42, 44, 47, 57, 60, 62, 63, 65, 67, 68, 71, 72, 80, 83, 84, 87, 89, 90, 92, 93, 101, 105, 106, 107, 116, 117, 120, 121, 128, 130, 138, 140, 144, 145, 147, 148, 150, 1, 5, 7, 8, 11, 13, 14, 16..]}
  DEBUG [17:52:23.329] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.342] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:23.347] Creating Prediction for predict set 'test' 
  DEBUG [17:52:23.355] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 9, 15, 17, 26, 29, 31, 38, 39, 41, 45, 46, 51, 53, 59, 61, 64, 70, 73, 74, 75, 76, 78, 82, 85, 86, 88, 91, 94, 95, 97, 98, 99, 102, 103, 104, 109, 112, 113, 129, 131, 134, 135, 136, 137, 139, 142, 143, 146, 149]}
  DEBUG [17:52:23.363] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:23.375] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:25.346] Running resample() via future with 3 iterations 
  INFO  [17:52:25.392] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [17:52:25.412] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 7, 8, 10, 17, 18, 20, 22, 24, 26, 27, 28, 36, 38, 45, 46, 47, 48, 58, 61, 65, 66, 67, 69, 76, 78, 80, 84, 85, 86, 87, 88, 104, 110, 116, 118, 119, 120, 122, 123, 124, 125, 126, 134, 136, 139, 142, 144, 149, 1, 2, 5, 9, 11, 12, 14, 21..]}
  DEBUG [17:52:25.421] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.433] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:25.438] Creating Prediction for predict set 'test' 
  DEBUG [17:52:25.445] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 13, 15, 16, 19, 23, 25, 29, 30, 33, 34, 37, 43, 49, 50, 55, 60, 62, 68, 72, 73, 74, 75, 79, 82, 83, 89, 99, 100, 101, 103, 108, 109, 111, 113, 114, 117, 121, 128, 129, 130, 131, 132, 135, 137, 138, 140, 141, 146, 150]}
  DEBUG [17:52:25.454] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.466] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:25.470] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:25.474] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [17:52:25.495] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 9, 11, 12, 14, 21, 31, 32, 35, 39, 40, 41, 42, 44, 51, 52, 53, 54, 56, 57, 59, 63, 64, 70, 71, 77, 81, 90, 91, 92, 93, 94, 95, 96, 97, 98, 102, 105, 106, 107, 112, 115, 127, 133, 143, 145, 147, 148, 3, 13, 15, 16, 19, 23, 25, 29, 30..]}
  DEBUG [17:52:25.503] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.512] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:25.516] Creating Prediction for predict set 'test' 
  DEBUG [17:52:25.522] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 7, 8, 10, 17, 18, 20, 22, 24, 26, 27, 28, 36, 38, 45, 46, 47, 48, 58, 61, 65, 66, 67, 69, 76, 78, 80, 84, 85, 86, 87, 88, 104, 110, 116, 118, 119, 120, 122, 123, 124, 125, 126, 134, 136, 139, 142, 144, 149]}
  DEBUG [17:52:25.528] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.538] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:25.542] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:25.545] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [17:52:25.561] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 7, 8, 10, 17, 18, 20, 22, 24, 26, 27, 28, 36, 38, 45, 46, 47, 48, 58, 61, 65, 66, 67, 69, 76, 78, 80, 84, 85, 86, 87, 88, 104, 110, 116, 118, 119, 120, 122, 123, 124, 125, 126, 134, 136, 139, 142, 144, 149, 3, 13, 15, 16, 19, 23, 25, 2..]}
  DEBUG [17:52:25.567] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.577] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:25.580] Creating Prediction for predict set 'test' 
  DEBUG [17:52:25.586] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 9, 11, 12, 14, 21, 31, 32, 35, 39, 40, 41, 42, 44, 51, 52, 53, 54, 56, 57, 59, 63, 64, 70, 71, 77, 81, 90, 91, 92, 93, 94, 95, 96, 97, 98, 102, 105, 106, 107, 112, 115, 127, 133, 143, 145, 147, 148]}
  DEBUG [17:52:25.593] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.603] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:25.607] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:52:25.889] Running resample() via future with 3 iterations 
  INFO  [17:52:25.926] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [17:52:25.943] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 7, 11, 12, 14, 15, 17, 19, 20, 26, 32, 37, 38, 39, 44, 45, 46, 49, 55, 56, 62, 66, 68, 72, 80, 81, 89, 93, 95, 97, 100, 102, 105, 107, 110, 115, 116, 123, 124, 127, 129, 131, 132, 133, 135, 140, 141, 143, 145, 147, 1, 3, 5, 6, 10, 16, 18..]}
  DEBUG [17:52:25.950] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.960] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:25.965] Creating Prediction for predict set 'test' 
  DEBUG [17:52:25.971] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 8, 9, 13, 23, 24, 25, 27, 31, 34, 36, 40, 42, 52, 58, 64, 65, 69, 71, 73, 74, 77, 82, 84, 85, 86, 87, 90, 92, 98, 101, 106, 109, 112, 113, 117, 118, 121, 122, 126, 128, 130, 134, 136, 137, 138, 142, 148, 149, 150]}
  DEBUG [17:52:25.978] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:25.988] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:25.992] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:25.996] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [17:52:26.012] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 8, 9, 13, 23, 24, 25, 27, 31, 34, 36, 40, 42, 52, 58, 64, 65, 69, 71, 73, 74, 77, 82, 84, 85, 86, 87, 90, 92, 98, 101, 106, 109, 112, 113, 117, 118, 121, 122, 126, 128, 130, 134, 136, 137, 138, 142, 148, 149, 150, 1, 3, 5, 6, 10, 16, 18..]}
  DEBUG [17:52:26.036] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:26.048] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:26.053] Creating Prediction for predict set 'test' 
  DEBUG [17:52:26.061] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 7, 11, 12, 14, 15, 17, 19, 20, 26, 32, 37, 38, 39, 44, 45, 46, 49, 55, 56, 62, 66, 68, 72, 80, 81, 89, 93, 95, 97, 100, 102, 105, 107, 110, 115, 116, 123, 124, 127, 129, 131, 132, 133, 135, 140, 141, 143, 145, 147]}
  DEBUG [17:52:26.069] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:26.081] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:26.086] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:26.090] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [17:52:26.108] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 7, 11, 12, 14, 15, 17, 19, 20, 26, 32, 37, 38, 39, 44, 45, 46, 49, 55, 56, 62, 66, 68, 72, 80, 81, 89, 93, 95, 97, 100, 102, 105, 107, 110, 115, 116, 123, 124, 127, 129, 131, 132, 133, 135, 140, 141, 143, 145, 147, 2, 8, 9, 13, 23, 24, 25..]}
  DEBUG [17:52:26.117] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:26.129] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:26.133] Creating Prediction for predict set 'test' 
  DEBUG [17:52:26.141] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 5, 6, 10, 16, 18, 21, 22, 28, 29, 30, 33, 35, 41, 43, 47, 48, 50, 51, 53, 54, 57, 59, 60, 61, 63, 67, 70, 75, 76, 78, 79, 83, 88, 91, 94, 96, 99, 103, 104, 108, 111, 114, 119, 120, 125, 139, 144, 146]}
  DEBUG [17:52:26.149] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:26.161] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:26.166] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:52:26.786] Running resample() via future with 3 iterations 
  INFO  [17:52:26.832] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [17:52:26.851] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 5, 7, 9, 14, 17, 18, 19, 22, 28, 32, 36, 41, 42, 43, 45, 46, 52, 60, 62, 67, 71, 78, 82, 87, 89, 91, 92, 94, 95, 98, 102, 103, 105, 106, 114, 115, 116, 118, 124, 125, 126, 130, 132, 133, 137, 139, 143, 144, 146, 3, 10, 11, 20, 23, 29, 34..]}
  DEBUG [17:52:26.887] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:26.914] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:26.919] Creating Prediction for predict set 'test' 
  DEBUG [17:52:26.943] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 8, 12, 13, 15, 16, 21, 24, 25, 26, 27, 30, 31, 33, 40, 44, 47, 61, 64, 65, 68, 69, 70, 73, 74, 76, 77, 79, 80, 84, 90, 99, 100, 101, 104, 110, 120, 123, 127, 128, 129, 134, 135, 140, 142, 145, 147, 150]}
  DEBUG [17:52:26.953] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:26.966] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:26.971] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:26.975] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [17:52:26.995] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 5, 7, 9, 14, 17, 18, 19, 22, 28, 32, 36, 41, 42, 43, 45, 46, 52, 60, 62, 67, 71, 78, 82, 87, 89, 91, 92, 94, 95, 98, 102, 103, 105, 106, 114, 115, 116, 118, 124, 125, 126, 130, 132, 133, 137, 139, 143, 144, 146, 1, 2, 6, 8, 12, 13, 15, 16..]}
  DEBUG [17:52:27.003] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.015] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:27.032] Creating Prediction for predict set 'test' 
  DEBUG [17:52:27.041] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 10, 11, 20, 23, 29, 34, 35, 37, 38, 39, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 63, 66, 72, 75, 81, 83, 85, 86, 88, 93, 96, 97, 107, 108, 109, 111, 112, 113, 117, 119, 121, 122, 131, 136, 138, 141, 148, 149]}
  DEBUG [17:52:27.073] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.097] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:27.102] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:27.106] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [17:52:27.124] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 10, 11, 20, 23, 29, 34, 35, 37, 38, 39, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 63, 66, 72, 75, 81, 83, 85, 86, 88, 93, 96, 97, 107, 108, 109, 111, 112, 113, 117, 119, 121, 122, 131, 136, 138, 141, 148, 149, 1, 2, 6, 8, 12, 13, 15, 16..]}
  DEBUG [17:52:27.138] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.148] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:27.152] Creating Prediction for predict set 'test' 
  DEBUG [17:52:27.160] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 5, 7, 9, 14, 17, 18, 19, 22, 28, 32, 36, 41, 42, 43, 45, 46, 52, 60, 62, 67, 71, 78, 82, 87, 89, 91, 92, 94, 95, 98, 102, 103, 105, 106, 114, 115, 116, 118, 124, 125, 126, 130, 132, 133, 137, 139, 143, 144, 146]}
  DEBUG [17:52:27.167] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.178] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:27.182] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:52:27.321] Running resample() via future with 1 iterations 
  INFO  [17:52:27.379] Applying learner 'classif.featureless' on task 'iris' (iter 1/1) 
  DEBUG [17:52:27.408] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [24, 75, 14, 67, 138, 73, 54, 2, 136, 22, 98, 6, 112, 49, 27, 88, 113, 126, 89, 118, 37, 123, 124, 150, 71, 23, 17, 9, 15, 41, 108, 35, 91, 63, 57, 55, 111, 87, 129, 58, 109, 132, 105, 47, 50, 148, 144, 32, 85, 72, 94, 78, 97, 62, 86, 140, 93..]}
  DEBUG [17:52:27.431] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.442] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:27.445] Creating Prediction for predict set 'test' 
  DEBUG [17:52:27.468] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 7, 8, 10, 12, 13, 19, 26, 29, 30, 31, 34, 38, 40, 42, 43, 48, 51, 52, 56, 60, 61, 65, 66, 69, 70, 74, 77, 79, 80, 81, 82, 83, 90, 92, 96, 101, 102, 104, 114, 117, 119, 120, 128, 130, 135, 142, 146, 149]}
  DEBUG [17:52:27.483] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.501] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:27.521] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:52:27.634] Running resample() via future with 3 iterations 
  INFO  [17:52:27.668] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [17:52:27.683] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 10, 11, 15, 16, 21, 22, 24, 30, 32, 33, 34, 36, 37, 38, 45, 47, 51, 53, 62, 68, 71, 74, 75, 76, 78, 79, 81, 82, 84, 85, 89, 92, 93, 95, 103, 106, 107, 108, 110, 113, 114, 117, 119, 127, 128, 129, 132, 144, 146, 1, 3, 5, 9, 17, 19, 26, 27..]}
  DEBUG [17:52:27.690] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.700] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:27.704] Creating Prediction for predict set 'test' 
  DEBUG [17:52:27.710] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 7, 8, 12, 13, 14, 18, 20, 23, 25, 28, 35, 40, 41, 42, 43, 44, 46, 49, 54, 55, 56, 57, 58, 59, 65, 67, 70, 72, 73, 86, 87, 90, 94, 98, 99, 100, 101, 105, 116, 125, 131, 133, 135, 138, 139, 141, 149, 150]}
  DEBUG [17:52:27.717] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.727] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:27.748] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:27.752] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [17:52:27.786] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 7, 8, 12, 13, 14, 18, 20, 23, 25, 28, 35, 40, 41, 42, 43, 44, 46, 49, 54, 55, 56, 57, 58, 59, 65, 67, 70, 72, 73, 86, 87, 90, 94, 98, 99, 100, 101, 105, 116, 125, 131, 133, 135, 138, 139, 141, 149, 150, 1, 3, 5, 9, 17, 19, 26, 27, 29..]}
  DEBUG [17:52:27.795] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.806] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:27.810] Creating Prediction for predict set 'test' 
  DEBUG [17:52:27.817] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 10, 11, 15, 16, 21, 22, 24, 30, 32, 33, 34, 36, 37, 38, 45, 47, 51, 53, 62, 68, 71, 74, 75, 76, 78, 79, 81, 82, 84, 85, 89, 92, 93, 95, 103, 106, 107, 108, 110, 113, 114, 117, 119, 127, 128, 129, 132, 144, 146]}
  DEBUG [17:52:27.826] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.839] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:27.843] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:27.847] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [17:52:27.881] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 10, 11, 15, 16, 21, 22, 24, 30, 32, 33, 34, 36, 37, 38, 45, 47, 51, 53, 62, 68, 71, 74, 75, 76, 78, 79, 81, 82, 84, 85, 89, 92, 93, 95, 103, 106, 107, 108, 110, 113, 114, 117, 119, 127, 128, 129, 132, 144, 146, 4, 6, 7, 8, 12, 13, 14, 18..]}
  DEBUG [17:52:27.907] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.936] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:27.940] Creating Prediction for predict set 'test' 
  DEBUG [17:52:27.964] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 5, 9, 17, 19, 26, 27, 29, 31, 39, 48, 50, 52, 60, 61, 63, 64, 66, 69, 77, 80, 83, 88, 91, 96, 97, 102, 104, 109, 111, 112, 115, 118, 120, 121, 122, 123, 124, 126, 130, 134, 136, 137, 140, 142, 143, 145, 147, 148]}
  DEBUG [17:52:27.972] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:27.984] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:27.988] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:52:28.092] Running resample() via future with 3 iterations 
  INFO  [17:52:28.127] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3) 
  DEBUG [17:52:28.143] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 7, 9, 10, 18, 22, 23, 32, 33, 34, 37, 47, 50, 51, 52, 54, 55, 56, 58, 60, 61, 71, 72, 73, 75, 77, 79, 81, 82, 90, 93, 94, 98, 100, 103, 104, 113, 114, 117, 119, 121, 126, 127, 128, 131, 133, 139, 140, 142, 143, 149, 155, 158, 159, 1..]}
  DEBUG [17:52:28.150] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.160] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:28.163] Creating Prediction for predict set 'test' 
  DEBUG [17:52:28.169] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 13, 17, 20, 21, 30, 31, 35, 38, 40, 43, 45, 48, 49, 53, 57, 62, 63, 64, 66, 68, 74, 78, 84, 86, 87, 89, 95, 96, 99, 101, 105, 106, 107, 108, 116, 123, 132, 137, 138, 141, 144, 145, 148, 150, 152, 156, 157, 160, 162, 164, 168, 172, 173..]}
  DEBUG [17:52:28.193] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.219] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:28.222] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:28.226] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3) 
  DEBUG [17:52:28.258] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 7, 9, 10, 18, 22, 23, 32, 33, 34, 37, 47, 50, 51, 52, 54, 55, 56, 58, 60, 61, 71, 72, 73, 75, 77, 79, 81, 82, 90, 93, 94, 98, 100, 103, 104, 113, 114, 117, 119, 121, 126, 127, 128, 131, 133, 139, 140, 142, 143, 149, 155, 158, 159, 1..]}
  DEBUG [17:52:28.266] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.289] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:28.293] Creating Prediction for predict set 'test' 
  DEBUG [17:52:28.299] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 8, 11, 12, 14, 15, 16, 19, 24, 25, 26, 27, 28, 29, 36, 39, 41, 42, 44, 46, 59, 65, 67, 69, 70, 76, 80, 83, 85, 88, 91, 92, 97, 102, 109, 110, 111, 112, 115, 118, 120, 122, 124, 125, 129, 130, 134, 135, 136, 146, 147, 151, 153, 154, 161, 1..]}
  DEBUG [17:52:28.306] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.316] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:28.320] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:28.323] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3) 
  DEBUG [17:52:28.339] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 13, 17, 20, 21, 30, 31, 35, 38, 40, 43, 45, 48, 49, 53, 57, 62, 63, 64, 66, 68, 74, 78, 84, 86, 87, 89, 95, 96, 99, 101, 105, 106, 107, 108, 116, 123, 132, 137, 138, 141, 144, 145, 148, 150, 152, 156, 157, 160, 162, 164, 168, 172, 173..]}
  DEBUG [17:52:28.346] Calling train method of Learner 'classif.featureless' on task 'sonar' with 138 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.356] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:28.374] Creating Prediction for predict set 'test' 
  DEBUG [17:52:28.381] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 7, 9, 10, 18, 22, 23, 32, 33, 34, 37, 47, 50, 51, 52, 54, 55, 56, 58, 60, 61, 71, 72, 73, 75, 77, 79, 81, 82, 90, 93, 94, 98, 100, 103, 104, 113, 114, 117, 119, 121, 126, 127, 128, 131, 133, 139, 140, 142, 143, 149, 155, 158, 159, 1..]}
  DEBUG [17:52:28.388] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 70 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.419] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:28.422] Erasing stored model for learner 'classif.featureless' 
  DEBUG [17:52:28.684] Running resample() via future with 3 iterations 
  INFO  [17:52:28.724] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [17:52:28.742] 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 [17:52:28.750] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.761] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:28.764] Creating Prediction for predict set 'test' 
  DEBUG [17:52:28.771] 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 [17:52:28.778] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.790] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:28.794] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:28.797] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [17:52:28.813] 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 [17:52:28.821] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.831] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:28.835] Creating Prediction for predict set 'test' 
  DEBUG [17:52:28.841] 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 [17:52:28.847] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.858] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:28.862] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:28.865] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [17:52:28.890] 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 [17:52:28.913] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.940] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:28.944] Creating Prediction for predict set 'test' 
  DEBUG [17:52:28.950] 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 [17:52:28.974] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:28.984] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:28.987] Erasing stored model for learner 'classif.debug' 
  DEBUG [17:52:29.080] Running resample() via future with 3 iterations 
  INFO  [17:52:29.115] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [17:52:29.132] 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 [17:52:29.139] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.150] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:29.154] Creating Prediction for predict set 'test' 
  DEBUG [17:52:29.160] 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 [17:52:29.167] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.179] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:29.183] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:29.187] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [17:52:29.203] 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 [17:52:29.225] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.250] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:29.254] Creating Prediction for predict set 'test' 
  DEBUG [17:52:29.260] 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 [17:52:29.267] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.278] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:29.281] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:29.285] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [17:52:29.300] 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 [17:52:29.307] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.332] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:29.337] Creating Prediction for predict set 'test' 
  DEBUG [17:52:29.345] 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 [17:52:29.354] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.367] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:29.371] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:29.800] Benchmark with 6 resampling iterations 
  DEBUG [17:52:29.804] Running benchmark() asynchronously with 6 iterations 
  INFO  [17:52:29.859] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [17:52:29.882] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 7, 10, 11, 15, 17, 21, 22, 24, 30, 31, 32, 33, 34, 39, 41, 42, 46, 49, 53, 59, 61, 62, 64, 67, 69, 70, 71, 76, 78, 83, 84, 88, 91, 93, 94, 97, 98, 110, 115, 119, 124, 125, 126, 130, 131, 133, 140, 149, 1, 4, 12, 13, 20, 27, 35, 36, 40..]}
  DEBUG [17:52:29.892] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.904] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:29.910] Creating Prediction for predict set 'test' 
  DEBUG [17:52:29.917] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 8, 9, 14, 16, 18, 19, 23, 25, 26, 28, 29, 37, 38, 45, 47, 51, 54, 57, 60, 63, 65, 72, 73, 74, 79, 85, 89, 90, 92, 96, 99, 102, 107, 108, 109, 111, 112, 113, 116, 117, 118, 127, 129, 134, 142, 143, 144, 150]}
  DEBUG [17:52:29.926] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.941] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:29.946] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:29.951] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [17:52:29.972] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 6, 7, 9, 15, 17, 18, 19, 23, 24, 25, 26, 28, 32, 33, 37, 42, 45, 46, 51, 53, 54, 55, 60, 62, 65, 71, 73, 77, 81, 85, 87, 89, 97, 105, 107, 111, 113, 116, 118, 119, 129, 130, 134, 136, 142, 147, 151, 156, 158, 160, 161, 162, 166, 167..]}
  DEBUG [17:52:29.981] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:29.994] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:29.999] Creating Prediction for predict set 'test' 
  DEBUG [17:52:30.007] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 10, 12, 13, 14, 21, 22, 29, 30, 31, 34, 36, 41, 44, 56, 57, 69, 72, 74, 76, 78, 83, 84, 86, 90, 91, 93, 94, 96, 100, 103, 104, 108, 109, 114, 121, 124, 125, 126, 132, 133, 137, 139, 140, 143, 145, 150, 152, 153, 154, 165, 170, 171, 173..]}
  DEBUG [17:52:30.016] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.030] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:30.035] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:30.040] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [17:52:30.060] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 10, 12, 13, 14, 21, 22, 29, 30, 31, 34, 36, 41, 44, 56, 57, 69, 72, 74, 76, 78, 83, 84, 86, 90, 91, 93, 94, 96, 100, 103, 104, 108, 109, 114, 121, 124, 125, 126, 132, 133, 137, 139, 140, 143, 145, 150, 152, 153, 154, 165, 170, 171, 173..]}
  DEBUG [17:52:30.070] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.084] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:30.088] Creating Prediction for predict set 'test' 
  DEBUG [17:52:30.097] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 6, 7, 9, 15, 17, 18, 19, 23, 24, 25, 26, 28, 32, 33, 37, 42, 45, 46, 51, 53, 54, 55, 60, 62, 65, 71, 73, 77, 81, 85, 87, 89, 97, 105, 107, 111, 113, 116, 118, 119, 129, 130, 134, 136, 142, 147, 151, 156, 158, 160, 161, 162, 166, 167..]}
  DEBUG [17:52:30.106] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.120] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:30.125] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:29.935] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [17:52:29.986] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 7, 10, 11, 15, 17, 21, 22, 24, 30, 31, 32, 33, 34, 39, 41, 42, 46, 49, 53, 59, 61, 62, 64, 67, 69, 70, 71, 76, 78, 83, 84, 88, 91, 93, 94, 97, 98, 110, 115, 119, 124, 125, 126, 130, 131, 133, 140, 149, 3, 5, 8, 9, 14, 16, 18, 19, 23, 2..]}
  DEBUG [17:52:30.013] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.027] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:30.032] Creating Prediction for predict set 'test' 
  DEBUG [17:52:30.041] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 12, 13, 20, 27, 35, 36, 40, 43, 44, 48, 50, 52, 55, 56, 58, 66, 68, 75, 77, 80, 81, 82, 86, 87, 95, 100, 101, 103, 104, 105, 106, 114, 120, 121, 122, 123, 128, 132, 135, 136, 137, 138, 139, 141, 145, 146, 147, 148]}
  DEBUG [17:52:30.050] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.064] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:30.069] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:30.074] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [17:52:30.095] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 12, 13, 20, 27, 35, 36, 40, 43, 44, 48, 50, 52, 55, 56, 58, 66, 68, 75, 77, 80, 81, 82, 86, 87, 95, 100, 101, 103, 104, 105, 106, 114, 120, 121, 122, 123, 128, 132, 135, 136, 137, 138, 139, 141, 145, 146, 147, 148, 3, 5, 8, 9, 14, 16..]}
  DEBUG [17:52:30.104] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.117] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [17:52:30.122] Creating Prediction for predict set 'test' 
  DEBUG [17:52:30.131] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 7, 10, 11, 15, 17, 21, 22, 24, 30, 31, 32, 33, 34, 39, 41, 42, 46, 49, 53, 59, 61, 62, 64, 67, 69, 70, 71, 76, 78, 83, 84, 88, 91, 93, 94, 97, 98, 110, 115, 119, 124, 125, 126, 130, 131, 133, 140, 149]}
  DEBUG [17:52:30.140] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.154] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:30.158] Erasing stored model for learner 'classif.featureless' 
  INFO  [17:52:30.163] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [17:52:30.183] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 6, 7, 9, 15, 17, 18, 19, 23, 24, 25, 26, 28, 32, 33, 37, 42, 45, 46, 51, 53, 54, 55, 60, 62, 65, 71, 73, 77, 81, 85, 87, 89, 97, 105, 107, 111, 113, 116, 118, 119, 129, 130, 134, 136, 142, 147, 151, 156, 158, 160, 161, 162, 166, 167..]}
  DEBUG [17:52:30.193] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.207] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [17:52:30.211] Creating Prediction for predict set 'test' 
  DEBUG [17:52:30.220] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 11, 16, 20, 27, 35, 38, 39, 40, 43, 47, 48, 49, 50, 52, 58, 59, 61, 63, 64, 66, 67, 68, 70, 75, 79, 80, 82, 88, 92, 95, 98, 99, 101, 102, 106, 110, 112, 115, 117, 120, 122, 123, 127, 128, 131, 135, 138, 141, 144, 146, 148, 149, 155, 157..]}
  DEBUG [17:52:30.230] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [17:52:30.243] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:30.248] Erasing stored model for learner 'classif.debug' 
  INFO  [17:52:30.365] Finished benchmark 
  DEBUG [17:52:31.205] Running resample() via future with 1 iterations 
  INFO  [17:52:31.272] Applying learner 'classif.rpart' on task 'pima' (iter 1/1) 
  DEBUG [17:52:31.294] Subsetting task 'pima' to 512 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [499, 638, 261, 608, 406, 437, 417, 391, 299, 600, 342, 452, 498, 675, 366, 686, 494, 76, 595, 339, 415, 429, 697, 333, 217, 74, 298, 433, 441, 127, 227, 711, 500, 603, 104, 418, 644, 294, 575, 309, 737, 696, 685, 503, 311, 512, 42, 746, 538..]}
  DEBUG [17:52:31.318] Calling train method of Learner 'classif.rpart' on task 'pima' with 512 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:31.357] Learner 'classif.rpart' on task 'pima' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:31.362] Creating Prediction for predict set 'test' 
  DEBUG [17:52:31.371] Subsetting task 'pima' to 256 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 6, 7, 10, 13, 16, 18, 26, 28, 29, 33, 34, 36, 37, 39, 47, 48, 49, 51, 52, 54, 56, 59, 60, 62, 64, 66, 67, 68, 70, 71, 72, 73, 81, 85, 88, 89, 93, 94, 99, 101, 102, 108, 110, 111, 115, 116, 118, 120, 121, 122, 128, 130, 132, 133, 138, 141..]}
  DEBUG [17:52:31.384] Calling predict method of Learner 'classif.rpart' on task 'pima' with 256 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:31.407] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:31.412] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:32.012] Benchmark with 3 resampling iterations 
  DEBUG [17:52:32.659] Running benchmark() asynchronously with 3 iterations 
  INFO  [17:52:32.720] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [17:52:32.757] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [63, 138, 142, 140, 136, 95, 122, 69, 55, 76, 131, 126, 9, 139, 6, 66, 101, 80, 114, 36, 129, 115, 124, 68, 45, 19, 2, 56, 15, 75, 100, 12, 34, 93, 130, 90, 132, 144, 78, 150, 86, 37, 108, 28, 67, 29, 18, 99, 1, 53, 145, 94, 44, 97, 109, 103..]}
  DEBUG [17:52:32.768] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:32.795] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:32.800] Creating Prediction for predict set 'test' 
  DEBUG [17:52:32.809] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 8, 10, 11, 13, 14, 16, 17, 21, 22, 23, 24, 25, 26, 27, 35, 38, 39, 41, 42, 43, 48, 51, 52, 54, 59, 64, 65, 72, 73, 74, 77, 81, 82, 85, 88, 89, 104, 110, 113, 117, 119, 121, 125, 133, 135, 137, 146, 148, 149]}
  DEBUG [17:52:32.818] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:32.838] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:32.843] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:32.763] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [17:52:32.799] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [63, 138, 142, 140, 136, 95, 122, 69, 55, 76, 131, 126, 9, 139, 6, 66, 101, 80, 114, 36, 129, 115, 124, 68, 45, 19, 2, 56, 15, 75, 100, 12, 34, 93, 130, 90, 132, 144, 78, 150, 86, 37, 108, 28, 67, 29, 18, 99, 1, 53, 145, 94, 44, 97, 109, 103..]}
  DEBUG [17:52:32.822] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:32.848] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:32.852] Creating Prediction for predict set 'test' 
  DEBUG [17:52:32.870] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 8, 10, 11, 13, 14, 16, 17, 21, 22, 23, 24, 25, 26, 27, 35, 38, 39, 41, 42, 43, 48, 51, 52, 54, 59, 64, 65, 72, 73, 74, 77, 81, 82, 85, 88, 89, 104, 110, 113, 117, 119, 121, 125, 133, 135, 137, 146, 148, 149]}
  DEBUG [17:52:32.879] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:32.899] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:32.904] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:32.908] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [17:52:32.922] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [63, 138, 142, 140, 136, 95, 122, 69, 55, 76, 131, 126, 9, 139, 6, 66, 101, 80, 114, 36, 129, 115, 124, 68, 45, 19, 2, 56, 15, 75, 100, 12, 34, 93, 130, 90, 132, 144, 78, 150, 86, 37, 108, 28, 67, 29, 18, 99, 1, 53, 145, 94, 44, 97, 109, 103..]}
  DEBUG [17:52:32.931] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:32.951] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [17:52:32.956] Creating Prediction for predict set 'test' 
  DEBUG [17:52:32.963] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 8, 10, 11, 13, 14, 16, 17, 21, 22, 23, 24, 25, 26, 27, 35, 38, 39, 41, 42, 43, 48, 51, 52, 54, 59, 64, 65, 72, 73, 74, 77, 81, 82, 85, 88, 89, 104, 110, 113, 117, 119, 121, 125, 133, 135, 137, 146, 148, 149]}
  DEBUG [17:52:32.971] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [17:52:32.989] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [17:52:32.993] Erasing stored model for learner 'classif.rpart' 
  INFO  [17:52:33.004] 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