Running ‘testthat.R’ [123s/195s]
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 [15:07:35.685] Skip subsetting of task 'iris' 
  DEBUG [15:07:35.744] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:35.766] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:07:35.777] Skip subsetting of task 'iris' 
  DEBUG [15:07:35.781] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:35.789] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:35.844] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]}
  DEBUG [15:07:35.849] Calling train method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:35.860] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:07:35.935] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}
  DEBUG [15:07:35.940] Calling predict method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:35.950] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:36.092] Running resample() via future with 1 iterations 
  INFO  [15:07:36.117] Applying learner 'classif.debug' on task 'iris' (iter 1/1) 
  DEBUG [15:07:36.125] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [55, 20, 99, 21, 78, 129, 27, 16, 61, 46, 119, 71, 65, 150, 33, 38, 102, 11, 148, 76, 18, 89, 57, 120, 2, 13, 92, 42, 51, 17, 82, 37, 48, 132, 79, 100, 146, 139, 97, 23, 67, 147, 107, 70, 81, 135, 80, 149, 83, 29, 91, 66, 128, 101, 15, 69, 14..]}
  DEBUG [15:07:36.133] Calling train method of Learner 'classif.debug' on task 'iris' with 100 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:36.143] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:07:36.162] Creating Prediction for predict set 'test' 
  DEBUG [15:07:36.167] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 5, 6, 8, 9, 14, 19, 25, 26, 28, 30, 36, 39, 40, 41, 43, 45, 47, 49, 54, 56, 60, 63, 64, 73, 87, 88, 98, 105, 108, 110, 111, 115, 116, 117, 118, 121, 123, 124, 126, 127, 130, 133, 134, 136, 137, 138, 140, 145]}
  DEBUG [15:07:36.171] Calling predict method of Learner 'classif.debug' on task 'iris' with 50 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:36.198] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:36.365] Skip subsetting of task 'iris' 
  DEBUG [15:07:36.369] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:36.375] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:07:36.386] Skip subsetting of task 'iris' 
  DEBUG [15:07:36.390] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:36.398] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:36.440] Skip subsetting of task 'iris' 
  DEBUG [15:07:36.444] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:36.451] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:07:36.462] Skip subsetting of task 'iris' 
  DEBUG [15:07:36.465] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:07:36.476] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:37.430] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:37.448] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.466] 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 [15:07:37.504] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:37.508] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.532] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:37.570] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:37.574] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.597] 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 [15:07:37.629] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:37.633] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.664] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:37.707] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:37.711] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.742] 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 [15:07:37.765] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:37.769] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.791] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:37.819] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:37.824] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.834] 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 [15:07:37.847] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:37.851] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.882] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:37.926] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:37.930] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:37.954] 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 [15:07:37.974] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:37.992] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.003] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.062] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:38.067] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.077] 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 [15:07:38.088] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:38.111] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.138] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.173] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [15:07:38.177] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.200] 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 [15:07:38.223] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [15:07:38.227] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.255] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.302] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [15:07:38.306] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.333] 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 [15:07:38.357] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [15:07:38.361] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.384] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.416] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:38.420] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.456] 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 [15:07:38.480] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:38.484] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.527] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.571] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:38.575] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.584] 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 [15:07:38.604] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:38.608] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.618] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.639] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:38.643] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.652] 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 [15:07:38.664] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:38.674] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.685] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.703] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:38.707] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.718] 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 [15:07:38.729] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:38.775] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.793] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:38.846] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [15:07:38.850] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.899] 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 [15:07:38.926] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [15:07:38.931] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:38.957] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.005] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [15:07:39.018] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.044] 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 [15:07:39.077] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [15:07:39.081] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.121] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.141] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.145] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.198] 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 [15:07:39.228] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.232] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.256] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.277] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.281] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.294] 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 [15:07:39.308] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.313] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.331] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.392] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.396] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.415] 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 [15:07:39.437] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.441] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.464] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.511] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.515] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.537] 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 [15:07:39.563] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:39.567] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.594] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.657] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:39.662] Calling train method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.691] Learner 'classif.featureless:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:39.708] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:39.712] Calling predict method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.730] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.774] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:39.803] Calling train method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.851] Learner 'classif.featureless:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:39.881] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:39.894] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:39.925] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:39.986] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:39.990] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.008] 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 [15:07:40.040] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:40.045] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.084] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.117] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:40.137] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.170] 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 [15:07:40.217] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:40.221] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.259] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.297] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:40.301] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.323] 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 [15:07:40.354] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:40.358] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.386] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.427] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:40.431] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.458] 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 [15:07:40.483] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:40.487] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.514] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.559] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:40.564] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.588] 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 [15:07:40.615] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:40.621] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.634] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.657] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:40.662] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.675] 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 [15:07:40.690] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:40.696] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.708] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.726] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:40.732] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.746] 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 [15:07:40.759] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:40.764] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.774] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.792] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:40.796] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.805] 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 [15:07:40.817] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:40.821] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.832] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.850] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [15:07:40.853] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.868] 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 [15:07:40.879] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [15:07:40.883] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.896] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.917] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [15:07:40.921] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.931] 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 [15:07:40.942] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [15:07:40.946] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:40.957] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:40.990] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:40.998] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.011] 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 [15:07:41.038] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:41.043] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.053] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.076] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:41.081] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.091] 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 [15:07:41.102] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:41.106] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.118] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.140] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:41.144] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.154] 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 [15:07:41.166] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:41.171] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.182] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.201] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:41.205] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.216] 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 [15:07:41.226] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:41.230] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.252] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.281] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [15:07:41.284] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.312] 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 [15:07:41.340] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [15:07:41.344] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.367] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.419] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [15:07:41.423] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.441] 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 [15:07:41.468] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [15:07:41.472] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.512] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.551] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.555] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.577] 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 [15:07:41.604] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.608] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.634] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.666] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.670] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.692] 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 [15:07:41.715] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.745] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.774] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.804] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.809] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.829] 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 [15:07:41.842] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.847] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.862] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:41.891] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.908] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.927] 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 [15:07:41.966] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:41.971] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:41.995] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.042] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:42.046] Calling train method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.099] Learner 'classif.featureless:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:42.128] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:42.132] Calling predict method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.151] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.173] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:42.176] Calling train method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.193] Learner 'classif.featureless:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:42.213] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:42.218] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.237] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.256] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:42.262] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.280] 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 [15:07:42.297] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:42.301] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.320] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.344] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:42.348] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.373] 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 [15:07:42.398] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:42.401] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.431] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.488] Skip subsetting of task 'iris' 
  DEBUG [15:07:42.492] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.500] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:42.513] Skip subsetting of task 'iris' 
  DEBUG [15:07:42.517] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.524] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.532] Skip subsetting of task 'iris' 
  DEBUG [15:07:42.535] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.543] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.598] Skip subsetting of task 'iris' 
  DEBUG [15:07:42.602] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.610] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:42.620] Skip subsetting of task 'iris' 
  DEBUG [15:07:42.624] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.633] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.674] Running resample() via future with 1 iterations 
  INFO  [15:07:42.706] Applying learner 'classif.featureless' on task 'wine' (iter 1/1) 
  DEBUG [15:07:42.723] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [96, 24, 6, 56, 69, 154, 127, 49, 137, 162, 84, 121, 172, 32, 68, 126, 43, 135, 11, 99, 89, 101, 177, 63, 8, 38, 112, 18, 58, 117, 19, 165, 102, 97, 143, 85, 136, 134, 40, 153, 132, 21, 22, 52, 33, 164, 150, 108, 17, 20, 44, 10, 16, 129, 156..]}
  DEBUG [15:07:42.728] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.736] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:42.738] Creating Prediction for predict set 'test' 
  DEBUG [15:07:42.742] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 9, 13, 14, 15, 35, 36, 37, 41, 42, 46, 47, 48, 53, 59, 60, 61, 64, 66, 67, 70, 76, 79, 81, 82, 88, 92, 93, 94, 105, 106, 107, 109, 115, 118, 120, 122, 124, 128, 130, 131, 138, 141, 142, 144, 147, 149, 155, 159, 160, 168, 169, 171..]}
  DEBUG [15:07:42.748] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:42.755] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:42.758] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:07:43.679] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:43.683] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:43.723] Learner 'classif.rpart:response' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:43.737] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:43.743] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:43.758] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:43.806] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:43.810] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:43.826] Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:43.837] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [15:07:43.846] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:43.860] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:43.968] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:43.973] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:43.993] Learner 'classif.rpart:response' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.007] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:44.012] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.031] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.065] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:44.071] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.090] Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.109] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [15:07:44.113] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.130] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.162] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:44.166] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.183] Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.196] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:44.201] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.215] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.246] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:44.252] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.290] Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.301] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [15:07:44.304] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.339] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.367] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:44.371] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.388] Learner 'classif.rpart:response' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.411] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:44.430] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.450] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.488] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:44.492] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.512] Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.523] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [15:07:44.527] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.540] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.602] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:44.615] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.645] Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.662] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:44.666] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.708] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.768] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:44.772] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.823] Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:44.834] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [15:07:44.843] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.887] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:44.954] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:44.958] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:44.986] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:45.014] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.031] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.070] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:45.113] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.133] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.174] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:45.190] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.196] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.232] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:45.299] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.303] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.346] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:45.405] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.428] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.506] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:45.605] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.613] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.659] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:45.691] Skip subsetting of task 'feat_all_binary' 
  DEBUG [15:07:45.696] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.729] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:45.800] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:45.805] Calling train method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.849] Learner 'classif.rpart:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:45.896] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:45.900] Calling predict method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:45.951] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:45.999] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:46.003] Calling train method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.027] Learner 'classif.rpart:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.045] Skip subsetting of task 'missings_binary' 
  DEBUG [15:07:46.049] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.073] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:46.100] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:46.103] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.125] Learner 'classif.rpart:response' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.143] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:46.147] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.172] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:46.206] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:46.210] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.232] Learner 'classif.rpart:prob' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.249] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [15:07:46.253] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.276] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:46.305] Skip subsetting of task 'weights_binary' 
  DEBUG [15:07:46.309] Calling train method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.343] Learner 'classif.rpart:response' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.360] Skip subsetting of task 'weights_binary' 
  DEBUG [15:07:46.364] Calling predict method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.392] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:46.429] Skip subsetting of task 'weights_binary' 
  DEBUG [15:07:46.433] Calling train method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.485] Learner 'classif.rpart:prob' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.516] Skip subsetting of task 'weights_binary' 
  DEBUG [15:07:46.536] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.631] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:46.727] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:46.731] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.779] Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.803] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:46.811] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.843] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:46.876] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:46.880] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.935] Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:46.950] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [15:07:46.955] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:46.976] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.019] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:47.023] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.043] Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.058] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:47.063] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.080] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.114] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:47.119] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.135] Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.147] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [15:07:47.152] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.166] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.195] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:47.199] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.215] Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.227] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:47.231] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.247] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.276] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:47.280] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.303] Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.315] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [15:07:47.319] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.335] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.365] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:47.369] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.384] Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.396] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:47.401] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.416] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.446] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:47.450] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.466] Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.501] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [15:07:47.525] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.540] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.585] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:47.593] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.611] Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.631] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:47.635] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.651] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.680] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:47.684] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.700] Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.712] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [15:07:47.716] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.744] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.778] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:47.782] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.827] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.847] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:47.851] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.870] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:47.906] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:47.910] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.929] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:47.943] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:47.947] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:47.974] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.015] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:48.023] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.043] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:48.062] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:48.067] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.085] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.122] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:48.127] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.145] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:48.164] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [15:07:48.168] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.214] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.272] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:48.280] Calling train method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.302] Learner 'classif.rpart:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:48.318] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:48.322] Calling predict method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.347] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.382] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:48.385] Calling train method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.407] Learner 'classif.rpart:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:48.424] Skip subsetting of task 'missings_multiclass' 
  DEBUG [15:07:48.439] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.491] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.547] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:48.559] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.611] Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:48.631] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:48.635] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.665] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.700] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:48.704] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.753] Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:48.796] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [15:07:48.800] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:48.860] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:48.944] Skip subsetting of task 'weights_multiclass' 
  DEBUG [15:07:48.948] Calling train method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.026] Learner 'classif.rpart:response' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.050] Skip subsetting of task 'weights_multiclass' 
  DEBUG [15:07:49.061] Calling predict method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.089] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.121] Skip subsetting of task 'weights_multiclass' 
  DEBUG [15:07:49.125] Calling train method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.154] Learner 'classif.rpart:prob' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.182] Skip subsetting of task 'weights_multiclass' 
  DEBUG [15:07:49.186] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.218] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.253] Skip subsetting of task 'sanity' 
  DEBUG [15:07:49.257] Calling train method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.286] Learner 'classif.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.300] Skip subsetting of task 'sanity' 
  DEBUG [15:07:49.305] Calling predict method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.322] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.368] Skip subsetting of task 'sanity' 
  DEBUG [15:07:49.374] Calling train method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.397] Learner 'classif.rpart:prob' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.429] Skip subsetting of task 'sanity' 
  DEBUG [15:07:49.446] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.497] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.587] Skip subsetting of task 'sanity_reordered' 
  DEBUG [15:07:49.604] Calling train method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.632] Learner 'classif.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.652] Skip subsetting of task 'sanity_reordered' 
  DEBUG [15:07:49.665] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.705] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.748] Skip subsetting of task 'sanity_reordered' 
  DEBUG [15:07:49.752] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.768] Learner 'classif.rpart:prob' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.779] Skip subsetting of task 'sanity_reordered' 
  DEBUG [15:07:49.785] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.802] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.838] Skip subsetting of task 'sanity_switched' 
  DEBUG [15:07:49.842] Calling train method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.859] Learner 'classif.rpart:response' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.880] Skip subsetting of task 'sanity_switched' 
  DEBUG [15:07:49.884] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.900] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:49.935] Skip subsetting of task 'sanity_switched' 
  DEBUG [15:07:49.939] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.963] Learner 'classif.rpart:prob' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:49.975] Skip subsetting of task 'sanity_switched' 
  DEBUG [15:07:49.979] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:49.996] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:50.062] Skip subsetting of task 'foo' 
  DEBUG [15:07:50.066] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:50.080] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:50.141] Skip subsetting of task 'foo' 
  DEBUG [15:07:50.145] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:50.171] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:50.575] Skip subsetting of task 'feat_single_logical' 
  DEBUG [15:07:50.579] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:50.622] 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 [15:07:50.634] Skip subsetting of task 'feat_single_logical' 
  DEBUG [15:07:50.650] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:50.661] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:50.764] Skip subsetting of task 'feat_single_logical' 
  DEBUG [15:07:50.770] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:50.803] 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 [15:07:50.837] Skip subsetting of task 'feat_single_logical' 
  DEBUG [15:07:50.842] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:50.869] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:50.925] Skip subsetting of task 'feat_single_integer' 
  DEBUG [15:07:50.930] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:50.958] 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 [15:07:50.988] Skip subsetting of task 'feat_single_integer' 
  DEBUG [15:07:50.993] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.022] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.060] Skip subsetting of task 'feat_single_integer' 
  DEBUG [15:07:51.064] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.091] 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 [15:07:51.118] Skip subsetting of task 'feat_single_integer' 
  DEBUG [15:07:51.122] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.132] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.167] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [15:07:51.172] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.182] 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 [15:07:51.193] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [15:07:51.197] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.208] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.229] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [15:07:51.233] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.243] 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 [15:07:51.254] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [15:07:51.258] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.269] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.303] Skip subsetting of task 'feat_single_character' 
  DEBUG [15:07:51.307] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.338] 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 [15:07:51.358] Skip subsetting of task 'feat_single_character' 
  DEBUG [15:07:51.362] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.372] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.390] Skip subsetting of task 'feat_single_character' 
  DEBUG [15:07:51.409] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.438] 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 [15:07:51.460] Skip subsetting of task 'feat_single_character' 
  DEBUG [15:07:51.464] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.485] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.522] Skip subsetting of task 'feat_single_factor' 
  DEBUG [15:07:51.534] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.545] 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 [15:07:51.586] Skip subsetting of task 'feat_single_factor' 
  DEBUG [15:07:51.590] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.600] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.618] Skip subsetting of task 'feat_single_factor' 
  DEBUG [15:07:51.622] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.632] 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 [15:07:51.643] Skip subsetting of task 'feat_single_factor' 
  DEBUG [15:07:51.647] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.657] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.675] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [15:07:51.679] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.689] 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 [15:07:51.703] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [15:07:51.707] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.716] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.735] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [15:07:51.738] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.748] 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 [15:07:51.759] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [15:07:51.763] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.773] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.791] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [15:07:51.795] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.807] 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 [15:07:51.819] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [15:07:51.823] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.833] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.851] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [15:07:51.855] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.866] 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 [15:07:51.877] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [15:07:51.881] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.891] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.909] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:51.913] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.922] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:51.934] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:51.938] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.948] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:51.969] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:51.973] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:51.998] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:52.077] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:52.097] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.124] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.176] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:52.190] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.239] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:52.268] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:52.274] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.298] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.323] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:52.328] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.341] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:52.354] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:52.359] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.371] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.412] Skip subsetting of task 'missings' 
  DEBUG [15:07:52.426] Calling train method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.453] Learner 'regr.featureless:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:52.491] Skip subsetting of task 'missings' 
  DEBUG [15:07:52.495] Calling predict method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.531] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.570] Skip subsetting of task 'missings' 
  DEBUG [15:07:52.577] Calling train method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.604] Learner 'regr.featureless:se' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:52.642] Skip subsetting of task 'missings' 
  DEBUG [15:07:52.646] Calling predict method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.663] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.681] Skip subsetting of task 'missings_each_row' 
  DEBUG [15:07:52.685] Calling train method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.701] 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 [15:07:52.719] Skip subsetting of task 'missings_each_row' 
  DEBUG [15:07:52.722] Calling predict method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.740] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.759] Skip subsetting of task 'missings_each_row' 
  DEBUG [15:07:52.763] Calling train method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.784] 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 [15:07:52.802] Skip subsetting of task 'missings_each_row' 
  DEBUG [15:07:52.806] Calling predict method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.822] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.869] Running resample() via future with 1 iterations 
  INFO  [15:07:52.905] Applying learner 'regr.featureless' on task 'mtcars' (iter 1/1) 
  DEBUG [15:07:52.913] Subsetting task 'mtcars' to 21 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [10, 17, 3, 18, 29, 12, 32, 4, 11, 30, 25, 8, 6, 19, 16, 20, 22, 27, 9, 13, 28]}
  DEBUG [15:07:52.934] Calling train method of Learner 'regr.featureless' on task 'mtcars' with 21 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.941] Learner 'regr.featureless' on task 'mtcars' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [15:07:52.944] Creating Prediction for predict set 'test' 
  DEBUG [15:07:52.960] Subsetting task 'mtcars' to 11 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 7, 14, 15, 21, 23, 24, 26, 31]}
  DEBUG [15:07:52.978] Calling predict method of Learner 'regr.featureless' on task 'mtcars' with 11 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [15:07:52.985] Learner 'regr.featureless' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:52.988] Erasing stored model for learner 'regr.featureless' 
  DEBUG [15:07:54.173] Skip subsetting of task 'feat_single_logical' 
  DEBUG [15:07:54.179] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.195] Learner 'regr.rpart:response' on task 'feat_single_logical' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.205] Skip subsetting of task 'feat_single_logical' 
  DEBUG [15:07:54.209] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.221] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.255] Skip subsetting of task 'feat_single_integer' 
  DEBUG [15:07:54.259] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.273] Learner 'regr.rpart:response' on task 'feat_single_integer' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.285] Skip subsetting of task 'feat_single_integer' 
  DEBUG [15:07:54.288] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.300] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.326] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [15:07:54.330] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.344] Learner 'regr.rpart:response' on task 'feat_single_numeric' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.357] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [15:07:54.361] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.377] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.412] Skip subsetting of task 'feat_single_factor' 
  DEBUG [15:07:54.419] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.433] Learner 'regr.rpart:response' on task 'feat_single_factor' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.444] Skip subsetting of task 'feat_single_factor' 
  DEBUG [15:07:54.453] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.465] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.492] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [15:07:54.499] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.513] Learner 'regr.rpart:response' on task 'feat_single_ordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.523] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [15:07:54.529] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.541] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.567] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:54.570] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.587] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.598] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:54.602] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.619] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.645] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:54.649] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.670] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.680] Skip subsetting of task 'feat_all' 
  DEBUG [15:07:54.685] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.712] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.749] Skip subsetting of task 'missings' 
  DEBUG [15:07:54.754] Calling train method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.784] Learner 'regr.rpart:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:54.803] Skip subsetting of task 'missings' 
  DEBUG [15:07:54.812] Calling predict method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.873] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:54.933] Skip subsetting of task 'missings_each_row' 
  DEBUG [15:07:54.937] Calling train method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:54.995] Learner 'regr.rpart:response' on task 'missings_each_row' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:55.028] Skip subsetting of task 'missings_each_row' 
  DEBUG [15:07:55.032] Calling predict method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.072] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:55.103] Skip subsetting of task 'weights' 
  DEBUG [15:07:55.107] Calling train method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.138] Learner 'regr.rpart:response' on task 'weights' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:55.170] Skip subsetting of task 'weights' 
  DEBUG [15:07:55.174] Calling predict method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.217] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:55.260] Skip subsetting of task 'sanity' 
  DEBUG [15:07:55.264] Calling train method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.279] Learner 'regr.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:55.293] Skip subsetting of task 'sanity' 
  DEBUG [15:07:55.297] Calling predict method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.315] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:55.346] Skip subsetting of task 'sanity_reordered' 
  DEBUG [15:07:55.350] Calling train method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.365] Learner 'regr.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:55.376] Skip subsetting of task 'sanity_reordered' 
  DEBUG [15:07:55.380] Calling predict method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.395] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [15:07:55.476] Skip subsetting of task 'foo' 
  DEBUG [15:07:55.480] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.496] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:55.604] Skip subsetting of task 'foo' 
  DEBUG [15:07:55.608] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [15:07:55.623] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:58.059] Running resample() via future with 3 iterations 
  INFO  [15:07:58.100] Applying learner 'classif.featureless' on task 'wine' (iter 2/3) 
  DEBUG [15:07:58.128] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 11, 26, 29, 32, 34, 36, 38, 41, 43, 44, 47, 49, 50, 51, 53, 55, 58, 60, 70, 71, 72, 75, 77, 81, 88, 89, 90, 94, 95, 97, 100, 103, 108, 109, 114, 115, 125, 126, 131, 133, 138, 140, 145, 147, 154, 155, 156, 157, 159, 160, 162, 163, 164..]}
  DEBUG [15:07:58.133] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.157] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:58.160] Creating Prediction for predict set 'test' 
  DEBUG [15:07:58.164] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 9, 10, 14, 15, 16, 19, 21, 24, 27, 28, 33, 37, 40, 42, 48, 52, 54, 56, 57, 59, 61, 63, 65, 68, 74, 76, 78, 80, 83, 91, 93, 98, 99, 101, 105, 106, 120, 121, 123, 124, 127, 128, 130, 132, 135, 136, 139, 146, 148, 149, 150, 153, 158, 161, 16..]}
  DEBUG [15:07:58.185] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.193] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:58.209] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:07:58.212] Applying learner 'classif.featureless' on task 'wine' (iter 3/3) 
  DEBUG [15:07:58.233] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 11, 26, 29, 32, 34, 36, 38, 41, 43, 44, 47, 49, 50, 51, 53, 55, 58, 60, 70, 71, 72, 75, 77, 81, 88, 89, 90, 94, 95, 97, 100, 103, 108, 109, 114, 115, 125, 126, 131, 133, 138, 140, 145, 147, 154, 155, 156, 157, 159, 160, 162, 163, 164..]}
  DEBUG [15:07:58.254] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.261] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:58.264] Creating Prediction for predict set 'test' 
  DEBUG [15:07:58.268] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 6, 8, 12, 13, 17, 18, 20, 22, 23, 25, 30, 31, 35, 39, 45, 46, 62, 64, 66, 67, 69, 73, 79, 82, 84, 85, 86, 87, 92, 96, 102, 104, 107, 110, 111, 112, 113, 116, 117, 118, 119, 122, 129, 134, 137, 141, 142, 143, 144, 151, 152, 165, 168..]}
  DEBUG [15:07:58.289] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.297] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:58.320] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:07:58.322] Applying learner 'classif.featureless' on task 'wine' (iter 1/3) 
  DEBUG [15:07:58.341] Subsetting task 'wine' to 118 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 9, 10, 14, 15, 16, 19, 21, 24, 27, 28, 33, 37, 40, 42, 48, 52, 54, 56, 57, 59, 61, 63, 65, 68, 74, 76, 78, 80, 83, 91, 93, 98, 99, 101, 105, 106, 120, 121, 123, 124, 127, 128, 130, 132, 135, 136, 139, 146, 148, 149, 150, 153, 158, 161, 16..]}
  DEBUG [15:07:58.351] Calling train method of Learner 'classif.featureless' on task 'wine' with 118 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.370] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:58.373] Creating Prediction for predict set 'test' 
  DEBUG [15:07:58.377] Subsetting task 'wine' to 60 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 11, 26, 29, 32, 34, 36, 38, 41, 43, 44, 47, 49, 50, 51, 53, 55, 58, 60, 70, 71, 72, 75, 77, 81, 88, 89, 90, 94, 95, 97, 100, 103, 108, 109, 114, 115, 125, 126, 131, 133, 138, 140, 145, 147, 154, 155, 156, 157, 159, 160, 162, 163, 164..]}
  DEBUG [15:07:58.399] Calling predict method of Learner 'classif.featureless' on task 'wine' with 60 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.407] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:58.410] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:07:58.778] Skip subsetting of task 'sonar' 
  DEBUG [15:07:58.783] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.811] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:58.840] Skip subsetting of task 'sonar' 
  DEBUG [15:07:58.845] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:58.876] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:58.995] Skip subsetting of task 'sonar' 
  DEBUG [15:07:59.000] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.030] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:59.056] Skip subsetting of task 'sonar' 
  DEBUG [15:07:59.077] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.087] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:59.152] Skip subsetting of task 'iris' 
  DEBUG [15:07:59.157] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.164] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:59.175] Skip subsetting of task 'iris' 
  DEBUG [15:07:59.180] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.190] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:59.220] Skip subsetting of task 'iris' 
  DEBUG [15:07:59.224] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.247] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:07:59.257] Skip subsetting of task 'iris' 
  DEBUG [15:07:59.262] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.281] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:07:59.396] Running resample() via future with 1 iterations 
  INFO  [15:07:59.435] Applying learner 'classif.rpart' on task 'sonar' (iter 1/1) 
  DEBUG [15:07:59.455] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [144, 170, 129, 118, 25, 54, 127, 125, 141, 74, 75, 26, 161, 29, 16, 102, 191, 85, 87, 131, 138, 119, 3, 172, 117, 173, 77, 105, 31, 43, 50, 142, 145, 61, 120, 28, 174, 155, 147, 182, 90, 183, 82, 12, 149, 44, 17, 62, 15, 163, 91, 185, 150, 1..]}
  DEBUG [15:07:59.461] Calling train method of Learner 'classif.rpart' on task 'sonar' with 139 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.515] Learner 'classif.rpart' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:07:59.518] Creating Prediction for predict set 'test' 
  DEBUG [15:07:59.523] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 8, 10, 11, 13, 18, 19, 20, 22, 24, 33, 36, 38, 39, 40, 41, 42, 45, 46, 47, 49, 51, 53, 56, 57, 65, 70, 71, 72, 73, 76, 78, 79, 80, 81, 83, 86, 88, 89, 93, 95, 96, 98, 99, 112, 113, 114, 121, 124, 126, 130, 137, 139, 140, 143, 148, 154, 15..]}
  DEBUG [15:07:59.545] Calling predict method of Learner 'classif.rpart' on task 'sonar' with 69 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:07:59.574] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [15:08:00.723] Benchmark with 1 resampling iterations 
  DEBUG [15:08:00.725] Running benchmark() asynchronously with 1 iterations 
  INFO  [15:08:00.752] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [15:08:00.761] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [139, 26, 101, 100, 68, 3, 54, 125, 140, 96, 74, 4, 129, 71, 124, 28, 128, 21, 57, 52, 6, 16, 132, 35, 47, 36, 136, 72, 13, 83, 148, 12, 73, 17, 59, 70, 149, 121, 118, 122, 9, 1, 22, 113, 78, 99, 137, 91, 84, 144, 141, 24, 51, 65, 58, 55, 82..]}
  DEBUG [15:08:00.791] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:00.828] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:00.831] Creating Prediction for predict set 'test' 
  DEBUG [15:08:00.859] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 7, 8, 11, 14, 18, 19, 20, 27, 33, 37, 38, 39, 41, 44, 45, 53, 60, 61, 62, 64, 77, 81, 85, 86, 87, 88, 89, 94, 95, 97, 98, 102, 103, 104, 108, 111, 114, 115, 119, 120, 123, 126, 127, 130, 133, 134, 143, 145, 150]}
  DEBUG [15:08:00.864] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:00.891] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:00.894] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:00.899] Finished benchmark 
  DEBUG [15:08:10.744] Running resample() via future with 3 iterations 
  INFO  [15:08:12.442] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [15:08:12.592] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 8, 9, 13, 17, 18, 21, 24, 28, 29, 31, 32, 33, 35, 36, 40, 50, 51, 52, 54, 56, 59, 62, 76, 79, 80, 86, 88, 89, 90, 94, 95, 98, 102, 105, 112, 113, 117, 118, 119, 121, 123, 124, 126, 128, 129, 135, 146, 147, 150, 3, 4, 5, 11, 14, 15, 20, 23..]}
  DEBUG [15:08:12.613] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:12.670] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:12.672] Creating Prediction for predict set 'test' 
  DEBUG [15:08:12.676] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 10, 12, 16, 19, 22, 30, 34, 38, 39, 42, 43, 45, 57, 58, 60, 61, 63, 64, 65, 71, 73, 74, 81, 82, 83, 87, 92, 100, 101, 103, 106, 107, 109, 110, 111, 115, 116, 122, 125, 127, 132, 136, 138, 139, 140, 141, 142]}
  DEBUG [15:08:12.682] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:12.694] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:12.696] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:13.321] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [15:08:13.432] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 10, 12, 16, 19, 22, 30, 34, 38, 39, 42, 43, 45, 57, 58, 60, 61, 63, 64, 65, 71, 73, 74, 81, 82, 83, 87, 92, 100, 101, 103, 106, 107, 109, 110, 111, 115, 116, 122, 125, 127, 132, 136, 138, 139, 140, 141, 142, 3, 4, 5, 11, 14, 15, 20..]}
  DEBUG [15:08:13.473] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:13.527] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:13.529] Creating Prediction for predict set 'test' 
  DEBUG [15:08:13.534] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 8, 9, 13, 17, 18, 21, 24, 28, 29, 31, 32, 33, 35, 36, 40, 50, 51, 52, 54, 56, 59, 62, 76, 79, 80, 86, 88, 89, 90, 94, 95, 98, 102, 105, 112, 113, 117, 118, 119, 121, 123, 124, 126, 128, 129, 135, 146, 147, 150]}
  DEBUG [15:08:13.538] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:13.549] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:13.551] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:13.552] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [15:08:13.562] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 10, 12, 16, 19, 22, 30, 34, 38, 39, 42, 43, 45, 57, 58, 60, 61, 63, 64, 65, 71, 73, 74, 81, 82, 83, 87, 92, 100, 101, 103, 106, 107, 109, 110, 111, 115, 116, 122, 125, 127, 132, 136, 138, 139, 140, 141, 142, 7, 8, 9, 13, 17, 18, 21..]}
  DEBUG [15:08:13.567] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:13.578] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:13.580] Creating Prediction for predict set 'test' 
  DEBUG [15:08:13.583] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 11, 14, 15, 20, 23, 25, 26, 27, 37, 41, 44, 46, 47, 48, 49, 53, 55, 66, 67, 68, 69, 70, 72, 75, 77, 78, 84, 85, 91, 93, 96, 97, 99, 104, 108, 114, 120, 130, 131, 133, 134, 137, 143, 144, 145, 148, 149]}
  DEBUG [15:08:13.601] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:13.610] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:13.612] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:15.671] Benchmark with 3 resampling iterations 
  DEBUG [15:08:15.685] Running benchmark() asynchronously with 3 iterations 
  INFO  [15:08:17.857] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [15:08:17.946] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 9, 14, 16, 18, 22, 24, 25, 27, 29, 31, 37, 41, 44, 47, 49, 52, 54, 59, 60, 64, 83, 87, 90, 91, 93, 94, 95, 98, 99, 105, 107, 111, 112, 115, 116, 119, 120, 124, 125, 130, 132, 135, 137, 138, 140, 141, 148, 2, 8, 10, 12, 15, 17, 19, 2..]}
  DEBUG [15:08:17.967] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:18.021] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:18.023] Creating Prediction for predict set 'test' 
  DEBUG [15:08:18.026] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 6, 11, 13, 35, 38, 40, 43, 45, 46, 51, 53, 56, 61, 65, 66, 67, 68, 70, 71, 72, 73, 78, 79, 81, 82, 85, 89, 92, 96, 100, 104, 108, 110, 113, 117, 121, 126, 127, 133, 136, 139, 143, 144, 145, 146, 147, 149, 150]}
  DEBUG [15:08:18.030] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:18.043] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:18.045] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:17.954] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [15:08:18.079] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 9, 14, 16, 18, 22, 24, 25, 27, 29, 31, 37, 41, 44, 47, 49, 52, 54, 59, 60, 64, 83, 87, 90, 91, 93, 94, 95, 98, 99, 105, 107, 111, 112, 115, 116, 119, 120, 124, 125, 130, 132, 135, 137, 138, 140, 141, 148, 1, 5, 6, 11, 13, 35, 38, 40..]}
  DEBUG [15:08:18.116] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:18.233] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:18.235] Creating Prediction for predict set 'test' 
  DEBUG [15:08:18.239] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 8, 10, 12, 15, 17, 19, 20, 21, 23, 26, 28, 30, 32, 33, 34, 36, 39, 42, 48, 50, 55, 57, 58, 62, 63, 69, 74, 75, 76, 77, 80, 84, 86, 88, 97, 101, 102, 103, 106, 109, 114, 118, 122, 123, 128, 129, 131, 134, 142]}
  DEBUG [15:08:18.243] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:18.271] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:18.273] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:18.275] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [15:08:18.301] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 8, 10, 12, 15, 17, 19, 20, 21, 23, 26, 28, 30, 32, 33, 34, 36, 39, 42, 48, 50, 55, 57, 58, 62, 63, 69, 74, 75, 76, 77, 80, 84, 86, 88, 97, 101, 102, 103, 106, 109, 114, 118, 122, 123, 128, 129, 131, 134, 142, 1, 5, 6, 11, 13, 35, 38, 40..]}
  DEBUG [15:08:18.306] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:18.325] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:18.327] Creating Prediction for predict set 'test' 
  DEBUG [15:08:18.331] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 9, 14, 16, 18, 22, 24, 25, 27, 29, 31, 37, 41, 44, 47, 49, 52, 54, 59, 60, 64, 83, 87, 90, 91, 93, 94, 95, 98, 99, 105, 107, 111, 112, 115, 116, 119, 120, 124, 125, 130, 132, 135, 137, 138, 140, 141, 148]}
  DEBUG [15:08:18.355] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:18.364] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:18.366] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:18.651] Finished benchmark 
  DEBUG [15:08:22.344] Running resample() via future with 3 iterations 
  INFO  [15:08:22.454] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [15:08:22.488] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 14, 15, 17, 21, 24, 25, 35, 36, 38, 41, 45, 47, 49, 50, 53, 55, 59, 65, 67, 68, 69, 76, 81, 86, 88, 89, 91, 92, 93, 96, 97, 100, 103, 105, 109, 110, 119, 123, 125, 128, 129, 133, 136, 137, 138, 139, 147, 5, 8, 10, 13, 19, 22, 26, 27..]}
  DEBUG [15:08:22.511] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:22.547] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:22.550] Creating Prediction for predict set 'test' 
  DEBUG [15:08:22.568] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 9, 11, 12, 16, 18, 20, 23, 28, 30, 31, 33, 37, 46, 48, 51, 52, 54, 60, 63, 66, 74, 75, 78, 79, 82, 83, 87, 90, 104, 106, 108, 112, 113, 114, 115, 118, 121, 126, 130, 132, 135, 140, 144, 145, 146, 148, 149]}
  DEBUG [15:08:22.574] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:22.604] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:22.607] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:22.523] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [15:08:22.558] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 6, 9, 11, 12, 16, 18, 20, 23, 28, 30, 31, 33, 37, 46, 48, 51, 52, 54, 60, 63, 66, 74, 75, 78, 79, 82, 83, 87, 90, 104, 106, 108, 112, 113, 114, 115, 118, 121, 126, 130, 132, 135, 140, 144, 145, 146, 148, 149, 5, 8, 10, 13, 19, 22, 26..]}
  DEBUG [15:08:22.582] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:22.616] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:22.620] Creating Prediction for predict set 'test' 
  DEBUG [15:08:22.625] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 14, 15, 17, 21, 24, 25, 35, 36, 38, 41, 45, 47, 49, 50, 53, 55, 59, 65, 67, 68, 69, 76, 81, 86, 88, 89, 91, 92, 93, 96, 97, 100, 103, 105, 109, 110, 119, 123, 125, 128, 129, 133, 136, 137, 138, 139, 147]}
  DEBUG [15:08:22.644] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:22.732] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:22.747] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:22.761] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [15:08:22.807] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 7, 14, 15, 17, 21, 24, 25, 35, 36, 38, 41, 45, 47, 49, 50, 53, 55, 59, 65, 67, 68, 69, 76, 81, 86, 88, 89, 91, 92, 93, 96, 97, 100, 103, 105, 109, 110, 119, 123, 125, 128, 129, 133, 136, 137, 138, 139, 147, 1, 2, 6, 9, 11, 12, 16, 18..]}
  DEBUG [15:08:22.825] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:22.860] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:22.867] Creating Prediction for predict set 'test' 
  DEBUG [15:08:22.879] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 8, 10, 13, 19, 22, 26, 27, 29, 32, 34, 39, 40, 42, 43, 44, 56, 57, 58, 61, 62, 64, 70, 71, 72, 73, 77, 80, 84, 85, 94, 95, 98, 99, 101, 102, 107, 111, 116, 117, 120, 122, 124, 127, 131, 134, 141, 142, 143, 150]}
  DEBUG [15:08:22.890] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:22.912] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:22.917] Erasing stored model for learner 'classif.rpart' 
  DEBUG [15:08:24.406] Running resample() via future with 3 iterations 
  INFO  [15:08:24.472] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [15:08:24.504] 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 [15:08:24.527] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:24.538] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:24.541] Creating Prediction for predict set 'test' 
  DEBUG [15:08:24.563] 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 [15:08:24.570] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:24.597] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:24.600] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:24.603] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [15:08:24.663] 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 [15:08:24.689] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:24.701] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:24.720] Creating Prediction for predict set 'test' 
  DEBUG [15:08:24.726] 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 [15:08:24.732] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:24.757] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:24.760] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:24.763] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [15:08:24.792] 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 [15:08:24.798] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:24.822] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:24.825] Creating Prediction for predict set 'test' 
  DEBUG [15:08:24.846] 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 [15:08:24.852] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:24.860] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:24.879] Erasing stored model for learner 'classif.debug' 
  DEBUG [15:08:25.066] Running resample() via future with 3 iterations 
  INFO  [15:08:27.555] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [15:08:27.692] 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 [15:08:27.732] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:27.801] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:27.803] Creating Prediction for predict set 'test' 
  DEBUG [15:08:27.806] 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 [15:08:27.827] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:27.835] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:27.837] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:27.389] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [15:08:27.503] 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 [15:08:27.558] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:27.634] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:27.636] Creating Prediction for predict set 'test' 
  DEBUG [15:08:27.645] 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 [15:08:27.649] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:27.657] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:27.675] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:27.677] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [15:08:27.687] 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 [15:08:27.708] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:27.714] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:27.716] Creating Prediction for predict set 'test' 
  DEBUG [15:08:27.719] 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 [15:08:27.739] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:27.745] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:27.747] Erasing stored model for learner 'classif.debug' 
  DEBUG [15:08:28.461] Skip subsetting of task 'sonar' 
  DEBUG [15:08:28.467] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:28.492] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:28.561] Skip subsetting of task 'sonar' 
  DEBUG [15:08:28.566] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:28.594] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:28.656] Skip subsetting of task 'sonar' 
  DEBUG [15:08:28.661] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:28.689] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:28.753] Skip subsetting of task 'sonar' 
  DEBUG [15:08:28.757] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:28.786] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:28.836] Skip subsetting of task 'sonar' 
  DEBUG [15:08:28.857] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:28.866] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:28.933] Skip subsetting of task 'sonar' 
  DEBUG [15:08:28.953] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:28.982] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:29.055] Skip subsetting of task 'sonar' 
  DEBUG [15:08:29.060] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.081] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:29.144] Skip subsetting of task 'sonar' 
  DEBUG [15:08:29.148] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.239] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:29.337] Skip subsetting of task 'sonar' 
  DEBUG [15:08:29.360] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.393] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:29.532] Running resample() via future with 3 iterations 
  INFO  [15:08:29.599] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [15:08:29.630] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 12, 16, 22, 23, 24, 25, 26, 27, 30, 35, 36, 37, 40, 42, 45, 46, 48, 52, 53, 56, 57, 58, 59, 60, 61, 67, 70, 74, 78, 79, 80, 82, 96, 102, 103, 110, 113, 118, 121, 122, 128, 129, 130, 136, 138, 140, 142, 143, 145, 4, 6, 8, 9, 10, 11, 14, 15..]}
  DEBUG [15:08:29.638] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.657] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:29.660] Creating Prediction for predict set 'test' 
  DEBUG [15:08:29.681] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 5, 7, 13, 17, 18, 20, 21, 29, 32, 34, 39, 43, 47, 49, 51, 55, 62, 64, 69, 72, 73, 76, 83, 84, 85, 87, 88, 89, 90, 91, 92, 94, 98, 101, 104, 106, 107, 111, 116, 120, 123, 131, 132, 135, 141, 146, 148, 149]}
  DEBUG [15:08:29.686] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.710] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [15:08:29.714] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [15:08:29.742] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 8, 9, 10, 11, 14, 15, 19, 28, 31, 33, 38, 41, 44, 50, 54, 63, 65, 66, 68, 71, 75, 77, 81, 86, 93, 95, 97, 99, 100, 105, 108, 109, 112, 114, 115, 117, 119, 124, 125, 126, 127, 133, 134, 137, 139, 144, 147, 150, 1, 3, 5, 7, 13, 17, 18, 2..]}
  DEBUG [15:08:29.748] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.755] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:29.774] Creating Prediction for predict set 'test' 
  DEBUG [15:08:29.779] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 12, 16, 22, 23, 24, 25, 26, 27, 30, 35, 36, 37, 40, 42, 45, 46, 48, 52, 53, 56, 57, 58, 59, 60, 61, 67, 70, 74, 78, 79, 80, 82, 96, 102, 103, 110, 113, 118, 121, 122, 128, 129, 130, 136, 138, 140, 142, 143, 145]}
  DEBUG [15:08:29.785] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.809] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [15:08:29.813] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [15:08:29.841] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 12, 16, 22, 23, 24, 25, 26, 27, 30, 35, 36, 37, 40, 42, 45, 46, 48, 52, 53, 56, 57, 58, 59, 60, 61, 67, 70, 74, 78, 79, 80, 82, 96, 102, 103, 110, 113, 118, 121, 122, 128, 129, 130, 136, 138, 140, 142, 143, 145, 1, 3, 5, 7, 13, 17, 18, 20..]}
  DEBUG [15:08:29.846] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.853] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:29.872] Creating Prediction for predict set 'test' 
  DEBUG [15:08:29.877] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 8, 9, 10, 11, 14, 15, 19, 28, 31, 33, 38, 41, 44, 50, 54, 63, 65, 66, 68, 71, 75, 77, 81, 86, 93, 95, 97, 99, 100, 105, 108, 109, 112, 114, 115, 117, 119, 124, 125, 126, 127, 133, 134, 137, 139, 144, 147, 150]}
  DEBUG [15:08:29.882] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:29.906] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:31.654] Running resample() via future with 3 iterations 
  INFO  [15:08:31.681] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [15:08:31.694] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 13, 14, 16, 21, 23, 27, 32, 40, 43, 44, 46, 50, 59, 60, 62, 63, 68, 71, 72, 73, 74, 75, 79, 82, 95, 96, 97, 99, 105, 106, 109, 111, 112, 113, 116, 121, 126, 131, 134, 135, 136, 137, 139, 140, 141, 143, 147, 3, 5, 10, 11, 12, 17, 22..]}
  DEBUG [15:08:31.699] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:31.707] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:31.709] Creating Prediction for predict set 'test' 
  DEBUG [15:08:31.714] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 7, 9, 15, 18, 19, 20, 24, 25, 26, 33, 35, 38, 39, 42, 48, 51, 52, 53, 54, 55, 56, 57, 58, 76, 77, 78, 80, 81, 86, 91, 92, 93, 94, 100, 101, 103, 107, 122, 123, 125, 129, 130, 132, 138, 142, 144, 146, 150]}
  DEBUG [15:08:31.719] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:31.727] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:31.730] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:31.733] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [15:08:31.744] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 10, 11, 12, 17, 22, 28, 29, 30, 31, 34, 36, 37, 41, 45, 47, 49, 61, 64, 65, 66, 67, 69, 70, 83, 84, 85, 87, 88, 89, 90, 98, 102, 104, 108, 110, 114, 115, 117, 118, 119, 120, 124, 127, 128, 133, 145, 148, 149, 2, 6, 7, 9, 15, 18, 19, 20..]}
  DEBUG [15:08:31.749] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:31.758] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:31.761] Creating Prediction for predict set 'test' 
  DEBUG [15:08:31.765] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 13, 14, 16, 21, 23, 27, 32, 40, 43, 44, 46, 50, 59, 60, 62, 63, 68, 71, 72, 73, 74, 75, 79, 82, 95, 96, 97, 99, 105, 106, 109, 111, 112, 113, 116, 121, 126, 131, 134, 135, 136, 137, 139, 140, 141, 143, 147]}
  DEBUG [15:08:31.786] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:31.794] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:31.796] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:31.815] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [15:08:31.876] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 13, 14, 16, 21, 23, 27, 32, 40, 43, 44, 46, 50, 59, 60, 62, 63, 68, 71, 72, 73, 74, 75, 79, 82, 95, 96, 97, 99, 105, 106, 109, 111, 112, 113, 116, 121, 126, 131, 134, 135, 136, 137, 139, 140, 141, 143, 147, 2, 6, 7, 9, 15, 18, 19, 2..]}
  DEBUG [15:08:31.890] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:31.904] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:31.912] Creating Prediction for predict set 'test' 
  DEBUG [15:08:31.920] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 10, 11, 12, 17, 22, 28, 29, 30, 31, 34, 36, 37, 41, 45, 47, 49, 61, 64, 65, 66, 67, 69, 70, 83, 84, 85, 87, 88, 89, 90, 98, 102, 104, 108, 110, 114, 115, 117, 118, 119, 120, 124, 127, 128, 133, 145, 148, 149]}
  DEBUG [15:08:31.928] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:31.941] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:31.945] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:08:32.357] Running resample() via future with 3 iterations 
  INFO  [15:08:32.398] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [15:08:32.410] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 10, 14, 17, 20, 23, 24, 26, 29, 31, 33, 36, 38, 48, 49, 50, 51, 52, 53, 59, 60, 64, 68, 71, 75, 76, 77, 78, 79, 80, 87, 88, 90, 94, 96, 98, 107, 121, 124, 125, 128, 129, 138, 140, 144, 145, 146, 147, 8, 12, 16, 18, 19, 21, 28, 30, 3..]}
  DEBUG [15:08:32.415] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:32.422] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:32.425] Creating Prediction for predict set 'test' 
  DEBUG [15:08:32.429] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 9, 11, 13, 15, 22, 25, 27, 39, 40, 41, 43, 46, 54, 61, 62, 65, 66, 67, 69, 81, 82, 83, 85, 86, 89, 93, 99, 100, 101, 102, 105, 106, 108, 112, 113, 115, 117, 120, 123, 126, 127, 135, 137, 142, 143, 148]}
  DEBUG [15:08:32.434] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:32.442] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:32.455] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:32.458] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [15:08:32.470] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 10, 14, 17, 20, 23, 24, 26, 29, 31, 33, 36, 38, 48, 49, 50, 51, 52, 53, 59, 60, 64, 68, 71, 75, 76, 77, 78, 79, 80, 87, 88, 90, 94, 96, 98, 107, 121, 124, 125, 128, 129, 138, 140, 144, 145, 146, 147, 3, 4, 6, 7, 9, 11, 13, 15, 22, 2..]}
  DEBUG [15:08:32.476] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:32.483] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:32.486] Creating Prediction for predict set 'test' 
  DEBUG [15:08:32.491] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 12, 16, 18, 19, 21, 28, 30, 32, 34, 35, 37, 42, 44, 45, 47, 55, 56, 57, 58, 63, 70, 72, 73, 74, 84, 91, 92, 95, 97, 103, 104, 109, 110, 111, 114, 116, 118, 119, 122, 130, 131, 132, 133, 134, 136, 139, 141, 149, 150]}
  DEBUG [15:08:32.497] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:32.504] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:32.507] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:32.510] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [15:08:32.523] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 7, 9, 11, 13, 15, 22, 25, 27, 39, 40, 41, 43, 46, 54, 61, 62, 65, 66, 67, 69, 81, 82, 83, 85, 86, 89, 93, 99, 100, 101, 102, 105, 106, 108, 112, 113, 115, 117, 120, 123, 126, 127, 135, 137, 142, 143, 148, 8, 12, 16, 18, 19, 21, 28..]}
  DEBUG [15:08:32.528] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:32.535] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:32.538] Creating Prediction for predict set 'test' 
  DEBUG [15:08:32.543] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 10, 14, 17, 20, 23, 24, 26, 29, 31, 33, 36, 38, 48, 49, 50, 51, 52, 53, 59, 60, 64, 68, 71, 75, 76, 77, 78, 79, 80, 87, 88, 90, 94, 96, 98, 107, 121, 124, 125, 128, 129, 138, 140, 144, 145, 146, 147]}
  DEBUG [15:08:32.549] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:32.557] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:32.560] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:08:33.621] Running resample() via future with 3 iterations 
  INFO  [15:08:33.721] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [15:08:33.754] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 10, 12, 13, 26, 27, 32, 35, 44, 45, 53, 54, 56, 58, 59, 67, 72, 76, 77, 79, 80, 81, 83, 84, 85, 86, 87, 89, 91, 99, 100, 101, 102, 110, 112, 113, 114, 116, 117, 127, 130, 131, 133, 134, 136, 139, 141, 143, 147, 149, 1, 11, 15, 19, 20, 22..]}
  DEBUG [15:08:33.759] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:33.783] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:33.810] Creating Prediction for predict set 'test' 
  DEBUG [15:08:33.815] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 6, 7, 8, 9, 14, 16, 17, 18, 21, 23, 28, 30, 31, 34, 36, 41, 42, 43, 46, 48, 51, 55, 57, 60, 61, 63, 70, 73, 78, 88, 93, 94, 95, 96, 105, 115, 118, 119, 124, 125, 128, 135, 137, 138, 144, 146, 150]}
  DEBUG [15:08:33.820] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:33.844] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:33.847] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:33.850] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [15:08:33.877] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 6, 7, 8, 9, 14, 16, 17, 18, 21, 23, 28, 30, 31, 34, 36, 41, 42, 43, 46, 48, 51, 55, 57, 60, 61, 63, 70, 73, 78, 88, 93, 94, 95, 96, 105, 115, 118, 119, 124, 125, 128, 135, 137, 138, 144, 146, 150, 1, 11, 15, 19, 20, 22, 24, 25, 29..]}
  DEBUG [15:08:33.882] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:33.906] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:33.909] Creating Prediction for predict set 'test' 
  DEBUG [15:08:33.913] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 10, 12, 13, 26, 27, 32, 35, 44, 45, 53, 54, 56, 58, 59, 67, 72, 76, 77, 79, 80, 81, 83, 84, 85, 86, 87, 89, 91, 99, 100, 101, 102, 110, 112, 113, 114, 116, 117, 127, 130, 131, 133, 134, 136, 139, 141, 143, 147, 149]}
  DEBUG [15:08:33.934] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:33.942] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:33.945] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:33.947] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [15:08:33.975] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 10, 12, 13, 26, 27, 32, 35, 44, 45, 53, 54, 56, 58, 59, 67, 72, 76, 77, 79, 80, 81, 83, 84, 85, 86, 87, 89, 91, 99, 100, 101, 102, 110, 112, 113, 114, 116, 117, 127, 130, 131, 133, 134, 136, 139, 141, 143, 147, 149, 2, 3, 4, 6, 7, 8, 9, 1..]}
  DEBUG [15:08:33.981] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.004] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:34.007] Creating Prediction for predict set 'test' 
  DEBUG [15:08:34.011] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 11, 15, 19, 20, 22, 24, 25, 29, 33, 37, 38, 39, 40, 47, 49, 50, 52, 62, 64, 65, 66, 68, 69, 71, 74, 75, 82, 90, 92, 97, 98, 103, 104, 106, 107, 108, 109, 111, 120, 121, 122, 123, 126, 129, 132, 140, 142, 145, 148]}
  DEBUG [15:08:34.018] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.026] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:34.029] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:08:34.250] Running resample() via future with 1 iterations 
  INFO  [15:08:34.314] Applying learner 'classif.featureless' on task 'iris' (iter 1/1) 
  DEBUG [15:08:34.340] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [32, 116, 81, 25, 84, 8, 46, 90, 27, 41, 75, 63, 15, 130, 7, 61, 40, 72, 104, 62, 113, 47, 95, 53, 89, 127, 80, 143, 109, 102, 19, 82, 26, 91, 70, 30, 39, 2, 24, 79, 5, 34, 20, 58, 124, 48, 149, 1, 108, 140, 123, 52, 132, 22, 44, 128, 66, 14..]}
  DEBUG [15:08:34.346] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.418] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:34.424] Creating Prediction for predict set 'test' 
  DEBUG [15:08:34.448] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 9, 10, 11, 12, 13, 16, 21, 23, 29, 31, 36, 37, 38, 43, 45, 49, 50, 55, 56, 57, 64, 67, 68, 69, 73, 74, 78, 88, 96, 98, 100, 101, 105, 110, 111, 119, 120, 125, 126, 131, 133, 136, 137, 138, 141, 142, 146, 148]}
  DEBUG [15:08:34.456] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.484] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:34.488] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:08:34.698] Running resample() via future with 3 iterations 
  INFO  [15:08:34.761] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [15:08:34.790] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 5, 8, 9, 14, 15, 16, 21, 22, 25, 26, 30, 32, 33, 35, 38, 39, 42, 43, 46, 47, 55, 59, 63, 67, 70, 71, 79, 83, 87, 88, 89, 92, 93, 94, 100, 103, 107, 108, 112, 114, 117, 120, 124, 128, 129, 133, 137, 147, 1, 3, 11, 12, 13, 17, 20, 23, 28..]}
  DEBUG [15:08:34.796] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.803] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:34.822] Creating Prediction for predict set 'test' 
  DEBUG [15:08:34.827] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 10, 18, 19, 24, 27, 34, 37, 44, 45, 51, 52, 53, 54, 56, 57, 60, 62, 65, 66, 68, 69, 72, 74, 80, 84, 85, 86, 95, 96, 97, 98, 102, 105, 106, 109, 118, 126, 127, 134, 135, 136, 138, 140, 141, 142, 144, 148, 149]}
  DEBUG [15:08:34.832] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.857] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:34.860] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:34.862] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [15:08:34.890] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 5, 8, 9, 14, 15, 16, 21, 22, 25, 26, 30, 32, 33, 35, 38, 39, 42, 43, 46, 47, 55, 59, 63, 67, 70, 71, 79, 83, 87, 88, 89, 92, 93, 94, 100, 103, 107, 108, 112, 114, 117, 120, 124, 128, 129, 133, 137, 147, 6, 7, 10, 18, 19, 24, 27, 34, 37..]}
  DEBUG [15:08:34.896] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.919] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:34.922] Creating Prediction for predict set 'test' 
  DEBUG [15:08:34.927] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 11, 12, 13, 17, 20, 23, 28, 29, 31, 36, 40, 41, 48, 49, 50, 58, 61, 64, 73, 75, 76, 77, 78, 81, 82, 90, 91, 99, 101, 104, 110, 111, 113, 115, 116, 119, 121, 122, 123, 125, 130, 131, 132, 139, 143, 145, 146, 150]}
  DEBUG [15:08:34.932] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:34.956] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:34.959] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:34.962] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [15:08:34.990] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 11, 12, 13, 17, 20, 23, 28, 29, 31, 36, 40, 41, 48, 49, 50, 58, 61, 64, 73, 75, 76, 77, 78, 81, 82, 90, 91, 99, 101, 104, 110, 111, 113, 115, 116, 119, 121, 122, 123, 125, 130, 131, 132, 139, 143, 145, 146, 150, 6, 7, 10, 18, 19, 24, 2..]}
  DEBUG [15:08:34.995] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.018] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:35.021] Creating Prediction for predict set 'test' 
  DEBUG [15:08:35.025] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 5, 8, 9, 14, 15, 16, 21, 22, 25, 26, 30, 32, 33, 35, 38, 39, 42, 43, 46, 47, 55, 59, 63, 67, 70, 71, 79, 83, 87, 88, 89, 92, 93, 94, 100, 103, 107, 108, 112, 114, 117, 120, 124, 128, 129, 133, 137, 147]}
  DEBUG [15:08:35.046] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.053] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:35.056] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:08:35.241] Running resample() via future with 3 iterations 
  INFO  [15:08:35.282] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3) 
  DEBUG [15:08:35.294] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 9, 11, 12, 20, 22, 27, 29, 33, 34, 37, 40, 41, 42, 43, 44, 45, 47, 48, 49, 52, 55, 61, 63, 65, 70, 71, 74, 77, 78, 79, 90, 91, 95, 99, 104, 110, 113, 114, 117, 120, 122, 125, 126, 127, 129, 130, 132, 143, 147, 149, 152, 159, 163, 165..]}
  DEBUG [15:08:35.299] Calling train method of Learner 'classif.featureless' on task 'sonar' with 138 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.306] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:35.309] Creating Prediction for predict set 'test' 
  DEBUG [15:08:35.313] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 14, 17, 21, 25, 26, 30, 32, 35, 38, 58, 60, 64, 66, 67, 68, 69, 73, 75, 76, 80, 81, 82, 84, 87, 88, 89, 92, 94, 97, 98, 100, 108, 109, 112, 118, 119, 123, 124, 128, 131, 134, 135, 136, 137, 138, 141, 142, 144, 146, 148, 156, 160, 161, 164..]}
  DEBUG [15:08:35.318] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 70 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.326] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:35.329] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:35.332] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3) 
  DEBUG [15:08:35.344] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 14, 17, 21, 25, 26, 30, 32, 35, 38, 58, 60, 64, 66, 67, 68, 69, 73, 75, 76, 80, 81, 82, 84, 87, 88, 89, 92, 94, 97, 98, 100, 108, 109, 112, 118, 119, 123, 124, 128, 131, 134, 135, 136, 137, 138, 141, 142, 144, 146, 148, 156, 160, 161, 164..]}
  DEBUG [15:08:35.350] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.356] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:35.359] Creating Prediction for predict set 'test' 
  DEBUG [15:08:35.363] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 6, 7, 8, 10, 13, 15, 16, 18, 19, 23, 24, 28, 31, 36, 39, 46, 50, 51, 53, 54, 56, 57, 59, 62, 72, 83, 85, 86, 93, 96, 101, 102, 103, 105, 106, 107, 111, 115, 116, 121, 133, 139, 140, 145, 150, 151, 153, 154, 155, 157, 158, 162, 167, 175..]}
  DEBUG [15:08:35.368] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.376] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:35.379] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:35.381] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3) 
  DEBUG [15:08:35.392] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 14, 17, 21, 25, 26, 30, 32, 35, 38, 58, 60, 64, 66, 67, 68, 69, 73, 75, 76, 80, 81, 82, 84, 87, 88, 89, 92, 94, 97, 98, 100, 108, 109, 112, 118, 119, 123, 124, 128, 131, 134, 135, 136, 137, 138, 141, 142, 144, 146, 148, 156, 160, 161, 164..]}
  DEBUG [15:08:35.398] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.405] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:35.424] Creating Prediction for predict set 'test' 
  DEBUG [15:08:35.429] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 9, 11, 12, 20, 22, 27, 29, 33, 34, 37, 40, 41, 42, 43, 44, 45, 47, 48, 49, 52, 55, 61, 63, 65, 70, 71, 74, 77, 78, 79, 90, 91, 95, 99, 104, 110, 113, 114, 117, 120, 122, 125, 126, 127, 129, 130, 132, 143, 147, 149, 152, 159, 163, 165..]}
  DEBUG [15:08:35.434] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.458] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:35.461] Erasing stored model for learner 'classif.featureless' 
  DEBUG [15:08:35.770] Running resample() via future with 3 iterations 
  INFO  [15:08:35.794] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [15:08:35.806] 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 [15:08:35.812] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.819] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:35.821] Creating Prediction for predict set 'test' 
  DEBUG [15:08:35.825] 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 [15:08:35.831] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.850] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:35.853] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:35.856] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [15:08:35.869] 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 [15:08:35.876] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.884] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:35.887] Creating Prediction for predict set 'test' 
  DEBUG [15:08:35.893] 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 [15:08:35.899] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.925] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:35.929] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:35.932] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [15:08:35.958] 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 [15:08:35.965] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:35.991] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:35.994] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.016] 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 [15:08:36.023] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.048] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.052] Erasing stored model for learner 'classif.debug' 
  DEBUG [15:08:36.163] Running resample() via future with 3 iterations 
  INFO  [15:08:36.186] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [15:08:36.197] 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 [15:08:36.204] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.211] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:36.213] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.218] 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 [15:08:36.223] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.231] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.233] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:36.235] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [15:08:36.246] 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 [15:08:36.252] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.259] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:36.262] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.266] 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 [15:08:36.271] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.279] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.281] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:36.284] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [15:08:36.296] 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 [15:08:36.302] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.310] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:36.312] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.317] 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 [15:08:36.322] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.329] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.332] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:36.629] Benchmark with 6 resampling iterations 
  DEBUG [15:08:36.632] Running benchmark() asynchronously with 6 iterations 
  INFO  [15:08:36.715] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [15:08:36.749] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 15, 16, 20, 26, 28, 29, 36, 38, 44, 47, 48, 56, 57, 58, 59, 60, 64, 66, 68, 70, 71, 77, 84, 85, 87, 88, 92, 97, 98, 104, 110, 113, 115, 118, 125, 127, 130, 133, 136, 147, 149, 150, 152, 155, 162, 164, 165, 166, 167, 168, 170, 171, 172, 17..]}
  DEBUG [15:08:36.772] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.783] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:36.803] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.809] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 9, 10, 11, 12, 18, 23, 24, 27, 31, 32, 34, 35, 39, 40, 45, 46, 50, 52, 62, 73, 75, 76, 78, 82, 89, 90, 93, 94, 95, 96, 99, 100, 102, 103, 105, 107, 108, 111, 112, 114, 120, 122, 123, 126, 131, 139, 141, 143, 144, 151, 153, 154, 156, 15..]}
  DEBUG [15:08:36.816] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.843] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.847] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:36.867] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [15:08:36.899] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 6, 9, 13, 15, 22, 26, 27, 28, 29, 30, 34, 39, 43, 46, 52, 54, 57, 59, 67, 71, 81, 82, 86, 89, 91, 95, 97, 98, 101, 102, 104, 107, 109, 110, 115, 120, 121, 122, 124, 126, 132, 133, 134, 145, 146, 150, 10, 12, 16, 20, 24, 32, 36, 3..]}
  DEBUG [15:08:36.906] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.931] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:36.934] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.940] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 7, 8, 11, 14, 17, 18, 19, 21, 23, 25, 31, 33, 35, 38, 40, 42, 45, 49, 53, 55, 58, 60, 62, 65, 66, 70, 72, 75, 80, 83, 88, 90, 92, 105, 106, 111, 112, 113, 114, 116, 119, 123, 128, 130, 137, 139, 140, 142, 143]}
  DEBUG [15:08:36.962] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.973] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.992] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:36.996] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [15:08:37.025] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 6, 7, 13, 14, 17, 19, 21, 22, 25, 30, 33, 37, 41, 42, 43, 49, 51, 53, 54, 55, 61, 63, 65, 67, 69, 72, 74, 79, 80, 81, 83, 86, 91, 101, 106, 109, 116, 117, 119, 121, 124, 128, 129, 132, 134, 135, 137, 138, 140, 142, 145, 146, 148, 15..]}
  DEBUG [15:08:37.031] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:37.058] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:37.061] Creating Prediction for predict set 'test' 
  DEBUG [15:08:37.075] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 15, 16, 20, 26, 28, 29, 36, 38, 44, 47, 48, 56, 57, 58, 59, 60, 64, 66, 68, 70, 71, 77, 84, 85, 87, 88, 92, 97, 98, 104, 110, 113, 115, 118, 125, 127, 130, 133, 136, 147, 149, 150, 152, 155, 162, 164, 165, 166, 167, 168, 170, 171, 172, 17..]}
  DEBUG [15:08:37.090] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:37.108] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:37.119] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:36.752] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [15:08:36.787] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [10, 12, 16, 20, 24, 32, 36, 37, 41, 44, 47, 48, 50, 51, 56, 61, 63, 64, 68, 69, 73, 74, 76, 77, 78, 79, 84, 85, 87, 93, 94, 96, 99, 100, 103, 108, 117, 118, 125, 127, 129, 131, 135, 136, 138, 141, 144, 147, 148, 149, 5, 7, 8, 11, 14, 17, 18..]}
  DEBUG [15:08:36.811] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.821] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:36.841] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.847] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 6, 9, 13, 15, 22, 26, 27, 28, 29, 30, 34, 39, 43, 46, 52, 54, 57, 59, 67, 71, 81, 82, 86, 89, 91, 95, 97, 98, 101, 102, 104, 107, 109, 110, 115, 120, 121, 122, 124, 126, 132, 133, 134, 145, 146, 150]}
  DEBUG [15:08:36.871] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.881] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:36.885] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:36.904] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [15:08:36.936] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 15, 16, 20, 26, 28, 29, 36, 38, 44, 47, 48, 56, 57, 58, 59, 60, 64, 66, 68, 70, 71, 77, 84, 85, 87, 88, 92, 97, 98, 104, 110, 113, 115, 118, 125, 127, 130, 133, 136, 147, 149, 150, 152, 155, 162, 164, 165, 166, 167, 168, 170, 171, 172, 17..]}
  DEBUG [15:08:36.943] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.970] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [15:08:36.974] Creating Prediction for predict set 'test' 
  DEBUG [15:08:36.979] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 6, 7, 13, 14, 17, 19, 21, 22, 25, 30, 33, 37, 41, 42, 43, 49, 51, 53, 54, 55, 61, 63, 65, 67, 69, 72, 74, 79, 80, 81, 83, 86, 91, 101, 106, 109, 116, 117, 119, 121, 124, 128, 129, 132, 134, 135, 137, 138, 140, 142, 145, 146, 148, 15..]}
  DEBUG [15:08:36.989] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [15:08:36.998] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:37.001] Erasing stored model for learner 'classif.debug' 
  INFO  [15:08:37.005] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [15:08:37.018] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 6, 9, 13, 15, 22, 26, 27, 28, 29, 30, 34, 39, 43, 46, 52, 54, 57, 59, 67, 71, 81, 82, 86, 89, 91, 95, 97, 98, 101, 102, 104, 107, 109, 110, 115, 120, 121, 122, 124, 126, 132, 133, 134, 145, 146, 150, 5, 7, 8, 11, 14, 17, 18, 19..]}
  DEBUG [15:08:37.025] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:37.033] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [15:08:37.037] Creating Prediction for predict set 'test' 
  DEBUG [15:08:37.042] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [10, 12, 16, 20, 24, 32, 36, 37, 41, 44, 47, 48, 50, 51, 56, 61, 63, 64, 68, 69, 73, 74, 76, 77, 78, 79, 84, 85, 87, 93, 94, 96, 99, 100, 103, 108, 117, 118, 125, 127, 129, 131, 135, 136, 138, 141, 144, 147, 148, 149]}
  DEBUG [15:08:37.048] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [15:08:37.105] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:37.116] Erasing stored model for learner 'classif.featureless' 
  INFO  [15:08:37.236] Finished benchmark 
  DEBUG [15:08:37.903] Running resample() via future with 1 iterations 
  INFO  [15:08:37.960] Applying learner 'classif.rpart' on task 'pima' (iter 1/1) 
  DEBUG [15:08:37.992] Subsetting task 'pima' to 512 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [294, 520, 109, 539, 479, 263, 275, 193, 438, 44, 303, 513, 667, 161, 138, 19, 486, 677, 169, 190, 330, 53, 548, 224, 634, 509, 409, 605, 195, 425, 14, 360, 140, 369, 57, 712, 431, 739, 620, 103, 446, 489, 628, 202, 1, 279, 27, 696, 259, 566..]}
  DEBUG [15:08:38.001] Calling train method of Learner 'classif.rpart' on task 'pima' with 512 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:38.056] Learner 'classif.rpart' on task 'pima' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:38.060] Creating Prediction for predict set 'test' 
  DEBUG [15:08:38.078] Subsetting task 'pima' to 256 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 11, 13, 15, 28, 31, 33, 34, 36, 38, 41, 43, 50, 55, 56, 60, 61, 67, 71, 79, 82, 87, 89, 90, 91, 93, 96, 98, 100, 101, 105, 106, 110, 111, 116, 120, 123, 125, 126, 131, 133, 145, 148, 150, 157, 158, 159, 166, 167, 168, 174, 176, 182, 18..]}
  DEBUG [15:08:38.085] Calling predict method of Learner 'classif.rpart' on task 'pima' with 256 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:38.117] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:38.121] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:38.881] Benchmark with 3 resampling iterations 
  DEBUG [15:08:38.900] Running benchmark() asynchronously with 3 iterations 
  INFO  [15:08:38.987] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [15:08:39.017] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [132, 82, 6, 143, 32, 2, 72, 90, 97, 131, 20, 43, 146, 110, 129, 41, 14, 78, 121, 54, 111, 99, 150, 122, 85, 141, 148, 84, 47, 66, 10, 26, 113, 133, 18, 3, 127, 51, 30, 107, 96, 48, 142, 108, 81, 86, 58, 94, 63, 137, 134, 69, 5, 57, 28, 23, 1..]}
  DEBUG [15:08:39.025] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:39.077] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:39.081] Creating Prediction for predict set 'test' 
  DEBUG [15:08:39.103] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 11, 16, 17, 19, 24, 25, 31, 34, 36, 37, 38, 44, 45, 46, 55, 59, 61, 62, 64, 65, 70, 71, 75, 76, 77, 87, 88, 89, 91, 92, 95, 98, 100, 101, 102, 103, 104, 105, 114, 115, 116, 117, 119, 120, 124, 125, 138, 139, 144]}
  DEBUG [15:08:39.110] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:39.141] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:39.145] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:39.048] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [15:08:39.079] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [132, 82, 6, 143, 32, 2, 72, 90, 97, 131, 20, 43, 146, 110, 129, 41, 14, 78, 121, 54, 111, 99, 150, 122, 85, 141, 148, 84, 47, 66, 10, 26, 113, 133, 18, 3, 127, 51, 30, 107, 96, 48, 142, 108, 81, 86, 58, 94, 63, 137, 134, 69, 5, 57, 28, 23, 1..]}
  DEBUG [15:08:39.102] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:39.122] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:39.126] Creating Prediction for predict set 'test' 
  DEBUG [15:08:39.132] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 11, 16, 17, 19, 24, 25, 31, 34, 36, 37, 38, 44, 45, 46, 55, 59, 61, 62, 64, 65, 70, 71, 75, 76, 77, 87, 88, 89, 91, 92, 95, 98, 100, 101, 102, 103, 104, 105, 114, 115, 116, 117, 119, 120, 124, 125, 138, 139, 144]}
  DEBUG [15:08:39.139] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:39.153] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:39.157] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:39.161] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [15:08:39.175] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [132, 82, 6, 143, 32, 2, 72, 90, 97, 131, 20, 43, 146, 110, 129, 41, 14, 78, 121, 54, 111, 99, 150, 122, 85, 141, 148, 84, 47, 66, 10, 26, 113, 133, 18, 3, 127, 51, 30, 107, 96, 48, 142, 108, 81, 86, 58, 94, 63, 137, 134, 69, 5, 57, 28, 23, 1..]}
  DEBUG [15:08:39.193] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:39.220] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [15:08:39.223] Creating Prediction for predict set 'test' 
  DEBUG [15:08:39.241] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 11, 16, 17, 19, 24, 25, 31, 34, 36, 37, 38, 44, 45, 46, 55, 59, 61, 62, 64, 65, 70, 71, 75, 76, 77, 87, 88, 89, 91, 92, 95, 98, 100, 101, 102, 103, 104, 105, 114, 115, 116, 117, 119, 120, 124, 125, 138, 139, 144]}
  DEBUG [15:08:39.265] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [15:08:39.296] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [15:08:39.299] Erasing stored model for learner 'classif.rpart' 
  INFO  [15:08:39.321] 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