Running ‘testthat.R’ [3m/12m]
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 [02:20:25.951] Skip subsetting of task 'iris' 
  DEBUG [02:20:26.321] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:26.467] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:20:26.504] Skip subsetting of task 'iris' 
  DEBUG [02:20:26.519] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:26.552] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:26.816] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]}
  DEBUG [02:20:26.843] Calling train method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:26.905] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:20:27.317] Subsetting task 'iris' to 10 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}
  DEBUG [02:20:27.349] Calling predict method of Learner 'classif.debug' on task 'iris' with 10 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:27.412] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:28.435] Running resample() via future with 1 iterations 
  INFO  [02:20:28.565] Applying learner 'classif.debug' on task 'iris' (iter 1/1) 
  DEBUG [02:20:28.606] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [40, 54, 135, 124, 132, 113, 68, 49, 73, 104, 51, 76, 28, 92, 112, 137, 61, 145, 53, 17, 140, 109, 121, 101, 100, 81, 8, 72, 90, 150, 50, 67, 4, 34, 32, 1, 130, 128, 36, 143, 47, 88, 18, 142, 62, 19, 97, 136, 30, 139, 7, 21, 3, 48, 103, 31, 1..]}
  DEBUG [02:20:28.625] Calling train method of Learner 'classif.debug' on task 'iris' with 100 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:28.679] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:20:28.689] Creating Prediction for predict set 'test' 
  DEBUG [02:20:28.710] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 10, 11, 13, 15, 16, 22, 25, 29, 37, 41, 43, 46, 55, 56, 57, 58, 59, 60, 65, 69, 70, 71, 74, 77, 78, 79, 80, 82, 83, 84, 89, 91, 93, 94, 95, 102, 105, 106, 107, 108, 110, 116, 117, 131, 133, 138, 144, 146, 148]}
  DEBUG [02:20:28.732] Calling predict method of Learner 'classif.debug' on task 'iris' with 50 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:28.763] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:29.363] Skip subsetting of task 'iris' 
  DEBUG [02:20:29.384] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:29.418] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:20:29.498] Skip subsetting of task 'iris' 
  DEBUG [02:20:29.522] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:29.568] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:29.884] Skip subsetting of task 'iris' 
  DEBUG [02:20:29.905] Calling train method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:29.953] Learner 'classif.debug' on task 'iris' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:20:30.034] Skip subsetting of task 'iris' 
  DEBUG [02:20:30.068] Calling predict method of Learner 'classif.debug' on task 'iris' with 150 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:20:30.121] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:34.341] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:34.376] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:34.449] 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 [02:20:34.539] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:34.577] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:34.666] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:34.797] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:34.820] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:34.890] 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 [02:20:34.962] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:34.990] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:35.073] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:35.222] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:35.249] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:35.314] 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 [02:20:35.374] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:35.396] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:35.449] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:35.629] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:35.658] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:35.752] 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 [02:20:35.848] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:35.878] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:35.975] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:36.134] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:36.168] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:36.247] 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 [02:20:36.343] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:36.362] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:36.445] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:36.582] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:36.599] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:36.683] 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 [02:20:36.767] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:36.783] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:36.854] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:36.980] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [02:20:37.001] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:37.074] 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 [02:20:37.172] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [02:20:37.215] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:37.329] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:37.470] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [02:20:37.495] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:37.548] 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 [02:20:37.606] Skip subsetting of task 'feat_single_character_binary' 
  DEBUG [02:20:37.630] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:37.682] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:37.809] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:37.824] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:37.878] 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 [02:20:37.932] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:37.952] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:38.004] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:38.110] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:38.130] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:38.191] 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 [02:20:38.258] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:38.278] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:38.334] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:38.481] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:20:38.504] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:38.560] 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 [02:20:38.645] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:20:38.671] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:38.757] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:38.884] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:20:38.910] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:38.973] 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 [02:20:39.046] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:20:39.074] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:39.140] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:39.288] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [02:20:39.312] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:39.386] 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 [02:20:39.463] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [02:20:39.492] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:39.565] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:39.688] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [02:20:39.716] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:39.777] 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 [02:20:39.839] Skip subsetting of task 'feat_single_POSIXct_binary' 
  DEBUG [02:20:39.867] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:39.932] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:40.042] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:40.066] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:40.132] 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 [02:20:40.208] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:40.238] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:40.307] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:40.436] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:40.466] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:40.539] 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 [02:20:40.607] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:40.626] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:40.680] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:40.765] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:40.777] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:40.814] 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 [02:20:40.867] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:40.883] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:40.935] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:41.010] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:41.024] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.099] 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 [02:20:41.157] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:20:41.175] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.224] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:41.346] Skip subsetting of task 'missings_binary' 
  DEBUG [02:20:41.362] Calling train method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.445] Learner 'classif.featureless:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:41.532] Skip subsetting of task 'missings_binary' 
  DEBUG [02:20:41.558] Calling predict method of Learner 'classif.featureless:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.622] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:41.682] Skip subsetting of task 'missings_binary' 
  DEBUG [02:20:41.691] Calling train method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.751] Learner 'classif.featureless:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:41.777] Skip subsetting of task 'missings_binary' 
  DEBUG [02:20:41.783] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.829] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:41.879] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:20:41.885] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:41.924] 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 [02:20:41.965] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:20:41.978] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:42.035] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:42.100] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:20:42.115] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:42.181] 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 [02:20:42.269] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:20:42.289] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:42.380] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:42.550] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:20:42.576] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:42.660] 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 [02:20:42.752] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:20:42.783] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:42.844] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:42.945] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:20:42.956] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.027] 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 [02:20:43.085] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:20:43.101] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.153] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:43.247] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:20:43.266] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.319] 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 [02:20:43.372] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:20:43.385] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.438] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:43.529] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:20:43.547] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.604] 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 [02:20:43.681] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:20:43.710] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.787] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:43.903] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:20:43.923] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:43.972] 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 [02:20:44.022] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:20:44.043] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.086] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:44.166] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:20:44.182] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.214] 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 [02:20:44.251] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:20:44.264] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.297] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:44.395] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [02:20:44.427] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.492] 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 [02:20:44.589] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [02:20:44.609] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.665] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:44.760] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [02:20:44.784] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.836] 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 [02:20:44.892] Skip subsetting of task 'feat_single_character_multiclass' 
  DEBUG [02:20:44.910] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_character_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:44.968] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:45.060] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:20:45.086] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:45.132] 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 [02:20:45.183] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:20:45.201] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:45.317] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:45.459] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:20:45.479] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:45.526] 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 [02:20:45.572] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:20:45.595] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:45.661] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:45.767] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:20:45.791] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:45.846] 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 [02:20:45.921] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:20:45.947] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:46.006] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:46.103] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:20:46.126] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:46.167] 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 [02:20:46.228] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:20:46.246] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:46.295] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:46.390] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [02:20:46.407] Calling train method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:46.454] 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 [02:20:46.525] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [02:20:46.550] Calling predict method of Learner 'classif.featureless:response' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:46.619] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:46.705] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [02:20:46.770] Calling train method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:46.839] 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 [02:20:46.926] Skip subsetting of task 'feat_single_POSIXct_multiclass' 
  DEBUG [02:20:46.961] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_single_POSIXct_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:47.037] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:47.191] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:47.222] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:47.290] 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 [02:20:47.346] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:47.369] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:47.418] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:47.525] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:47.542] Calling train method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:47.596] 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 [02:20:47.659] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:47.682] Calling predict method of Learner 'classif.featureless:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:47.744] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:47.877] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:47.902] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:47.981] 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 [02:20:48.034] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:48.058] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:48.124] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:48.238] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:48.258] Calling train method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:48.305] 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 [02:20:48.365] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:20:48.384] Calling predict method of Learner 'classif.featureless:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:48.443] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:48.575] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:20:48.598] Calling train method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:48.686] Learner 'classif.featureless:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:48.769] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:20:48.793] Calling predict method of Learner 'classif.featureless:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:48.879] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:48.972] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:20:48.999] Calling train method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:49.099] Learner 'classif.featureless:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:49.195] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:20:49.225] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:49.342] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:49.459] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:20:49.484] Calling train method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:49.595] 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 [02:20:49.691] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:20:49.706] Calling predict method of Learner 'classif.featureless:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:49.756] Learner 'classif.featureless:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:49.786] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:20:49.792] Calling train method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:49.817] 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 [02:20:49.858] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:20:49.882] Calling predict method of Learner 'classif.featureless:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:49.987] Learner 'classif.featureless:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:50.272] Skip subsetting of task 'iris' 
  DEBUG [02:20:50.288] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:50.327] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:50.378] Skip subsetting of task 'iris' 
  DEBUG [02:20:50.396] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:50.436] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:50.470] Skip subsetting of task 'iris' 
  DEBUG [02:20:50.492] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:50.530] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:50.840] Skip subsetting of task 'iris' 
  DEBUG [02:20:50.864] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:50.916] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:50.982] Skip subsetting of task 'iris' 
  DEBUG [02:20:51.011] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:51.049] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:51.296] Running resample() via future with 1 iterations 
  INFO  [02:20:51.456] Applying learner 'classif.featureless' on task 'wine' (iter 1/1) 
  DEBUG [02:20:51.505] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [111, 100, 164, 56, 119, 112, 162, 99, 105, 96, 31, 132, 75, 144, 130, 22, 165, 49, 6, 77, 120, 57, 39, 93, 81, 102, 23, 46, 148, 175, 79, 64, 125, 138, 35, 94, 51, 113, 135, 60, 121, 151, 10, 25, 11, 50, 115, 126, 38, 136, 30, 42, 168, 61, 1..]}
  DEBUG [02:20:51.519] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:51.532] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:20:51.539] Creating Prediction for predict set 'test' 
  DEBUG [02:20:51.547] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 5, 12, 15, 17, 18, 19, 20, 26, 34, 37, 40, 44, 45, 48, 52, 53, 54, 59, 65, 67, 68, 69, 70, 71, 72, 78, 82, 83, 84, 87, 88, 90, 97, 98, 103, 104, 107, 108, 122, 123, 129, 131, 134, 141, 142, 143, 145, 153, 154, 155, 160, 163, 166, 167..]}
  DEBUG [02:20:51.574] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:20:51.603] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:51.611] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:20:56.299] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:56.332] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:56.426] Learner 'classif.rpart:response' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:56.491] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:56.515] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:56.586] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:56.721] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:56.747] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:56.838] Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:56.926] Skip subsetting of task 'feat_single_logical_binary' 
  DEBUG [02:20:56.966] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:57.061] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:57.212] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:57.232] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:57.290] Learner 'classif.rpart:response' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:57.331] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:57.347] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:57.424] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:57.561] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:57.579] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:57.643] Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:57.682] Skip subsetting of task 'feat_single_integer_binary' 
  DEBUG [02:20:57.697] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:57.744] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:57.839] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:57.853] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:57.925] Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:57.986] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:58.028] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:58.180] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:58.386] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:58.415] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:58.498] Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:58.559] Skip subsetting of task 'feat_single_numeric_binary' 
  DEBUG [02:20:58.585] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:58.677] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:58.906] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:58.945] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:59.060] Learner 'classif.rpart:response' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:59.144] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:59.170] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:59.273] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:59.478] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:59.498] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:59.614] Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:20:59.697] Skip subsetting of task 'feat_single_factor_binary' 
  DEBUG [02:20:59.725] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:20:59.795] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:20:59.968] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:20:59.998] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:00.094] Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:00.184] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:21:00.214] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:00.312] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:00.503] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:21:00.526] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:00.633] Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:00.727] Skip subsetting of task 'feat_single_ordered_binary' 
  DEBUG [02:21:00.755] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:00.877] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:01.084] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:01.118] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:01.299] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:01.396] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:01.436] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:01.661] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:01.966] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:02.010] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:02.178] Learner 'classif.rpart:response' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:02.297] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:02.338] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:02.497] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:02.777] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:02.817] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:02.952] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:03.063] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:03.110] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:03.261] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:03.500] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:03.525] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:03.638] Learner 'classif.rpart:prob' on task 'feat_all_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:03.719] Skip subsetting of task 'feat_all_binary' 
  DEBUG [02:21:03.747] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:03.851] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:04.093] Skip subsetting of task 'missings_binary' 
  DEBUG [02:21:04.126] Calling train method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:04.295] Learner 'classif.rpart:response' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:04.409] Skip subsetting of task 'missings_binary' 
  DEBUG [02:21:04.434] Calling predict method of Learner 'classif.rpart:response' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:04.611] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:04.811] Skip subsetting of task 'missings_binary' 
  DEBUG [02:21:04.830] Calling train method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:04.954] Learner 'classif.rpart:prob' on task 'missings_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:05.037] Skip subsetting of task 'missings_binary' 
  DEBUG [02:21:05.050] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:05.162] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:05.296] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:21:05.319] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:05.467] Learner 'classif.rpart:response' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:05.579] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:21:05.605] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:05.781] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:05.967] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:21:05.998] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:06.176] Learner 'classif.rpart:prob' on task 'missings_each_row_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:06.263] Skip subsetting of task 'missings_each_row_binary' 
  DEBUG [02:21:06.291] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:06.449] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:06.637] Skip subsetting of task 'weights_binary' 
  DEBUG [02:21:06.666] Calling train method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:06.879] Learner 'classif.rpart:response' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:07.038] Skip subsetting of task 'weights_binary' 
  DEBUG [02:21:07.082] Calling predict method of Learner 'classif.rpart:response' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:07.316] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:07.509] Skip subsetting of task 'weights_binary' 
  DEBUG [02:21:07.538] Calling train method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:07.709] Learner 'classif.rpart:prob' on task 'weights_binary' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:07.880] Skip subsetting of task 'weights_binary' 
  DEBUG [02:21:07.913] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_binary' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:08.117] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:08.287] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:21:08.326] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:08.480] Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:08.625] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:21:08.669] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:08.782] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:08.984] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:21:09.002] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:09.116] Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:09.190] Skip subsetting of task 'feat_single_logical_multiclass' 
  DEBUG [02:21:09.210] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_logical_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:09.301] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:09.489] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:21:09.512] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:09.613] Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:09.687] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:21:09.709] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:09.796] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:09.971] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:21:10.005] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:10.102] Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:10.179] Skip subsetting of task 'feat_single_integer_multiclass' 
  DEBUG [02:21:10.211] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_integer_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:10.296] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:10.491] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:21:10.506] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:10.624] Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:10.720] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:21:10.752] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:10.833] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:11.005] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:21:11.026] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:11.150] Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:11.219] Skip subsetting of task 'feat_single_numeric_multiclass' 
  DEBUG [02:21:11.246] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_numeric_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:11.331] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:11.528] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:21:11.552] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:11.657] Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:11.729] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:21:11.767] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:11.857] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:12.051] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:21:12.066] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:12.170] Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:12.245] Skip subsetting of task 'feat_single_factor_multiclass' 
  DEBUG [02:21:12.269] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_factor_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:12.339] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:12.473] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:21:12.492] Calling train method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:12.568] Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:12.619] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:21:12.640] Calling predict method of Learner 'classif.rpart:response' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:12.712] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:12.838] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:21:12.860] Calling train method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:12.945] Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:13.012] Skip subsetting of task 'feat_single_ordered_multiclass' 
  DEBUG [02:21:13.031] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_single_ordered_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:13.105] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:13.367] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:13.393] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:13.522] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:13.612] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:13.644] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:13.756] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:14.044] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:14.070] Calling train method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:14.238] Learner 'classif.rpart:response' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:14.353] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:14.391] Calling predict method of Learner 'classif.rpart:response' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:14.501] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:14.717] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:14.752] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:14.870] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:14.950] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:14.976] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:15.098] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:15.283] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:15.307] Calling train method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:15.407] Learner 'classif.rpart:prob' on task 'feat_all_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:15.488] Skip subsetting of task 'feat_all_multiclass' 
  DEBUG [02:21:15.515] Calling predict method of Learner 'classif.rpart:prob' on task 'feat_all_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:15.627] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:15.880] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:21:15.917] Calling train method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:16.171] Learner 'classif.rpart:response' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:16.262] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:21:16.280] Calling predict method of Learner 'classif.rpart:response' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:16.378] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:16.420] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:21:16.426] Calling train method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:16.461] Learner 'classif.rpart:prob' on task 'missings_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:16.487] Skip subsetting of task 'missings_multiclass' 
  DEBUG [02:21:16.493] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:16.636] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:16.838] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:21:16.867] Calling train method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:17.016] Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:17.134] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:21:17.162] Calling predict method of Learner 'classif.rpart:response' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:17.331] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:17.475] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:21:17.507] Calling train method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:17.652] Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:17.734] Skip subsetting of task 'missings_each_row_multiclass' 
  DEBUG [02:21:17.766] Calling predict method of Learner 'classif.rpart:prob' on task 'missings_each_row_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:17.894] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:18.016] Skip subsetting of task 'weights_multiclass' 
  DEBUG [02:21:18.031] Calling train method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:18.140] Learner 'classif.rpart:response' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:18.226] Skip subsetting of task 'weights_multiclass' 
  DEBUG [02:21:18.245] Calling predict method of Learner 'classif.rpart:response' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:18.389] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:18.487] Skip subsetting of task 'weights_multiclass' 
  DEBUG [02:21:18.495] Calling train method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:18.545] Learner 'classif.rpart:prob' on task 'weights_multiclass' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:18.589] Skip subsetting of task 'weights_multiclass' 
  DEBUG [02:21:18.607] Calling predict method of Learner 'classif.rpart:prob' on task 'weights_multiclass' with 30 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:18.743] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:18.918] Skip subsetting of task 'sanity' 
  DEBUG [02:21:18.944] Calling train method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:19.023] Learner 'classif.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:19.101] Skip subsetting of task 'sanity' 
  DEBUG [02:21:19.130] Calling predict method of Learner 'classif.rpart:response' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:19.231] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:19.418] Skip subsetting of task 'sanity' 
  DEBUG [02:21:19.454] Calling train method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:19.551] Learner 'classif.rpart:prob' on task 'sanity' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:19.629] Skip subsetting of task 'sanity' 
  DEBUG [02:21:19.643] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:19.711] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:19.928] Skip subsetting of task 'sanity_reordered' 
  DEBUG [02:21:19.963] Calling train method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:20.090] Learner 'classif.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:20.198] Skip subsetting of task 'sanity_reordered' 
  DEBUG [02:21:20.235] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:20.348] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:20.642] Skip subsetting of task 'sanity_reordered' 
  DEBUG [02:21:20.692] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:20.830] Learner 'classif.rpart:prob' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:20.920] Skip subsetting of task 'sanity_reordered' 
  DEBUG [02:21:20.939] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_reordered' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:21.050] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:21.236] Skip subsetting of task 'sanity_switched' 
  DEBUG [02:21:21.267] Calling train method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:21.366] Learner 'classif.rpart:response' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:21.445] Skip subsetting of task 'sanity_switched' 
  DEBUG [02:21:21.475] Calling predict method of Learner 'classif.rpart:response' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:21.571] Learner 'classif.rpart:response' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:21.754] Skip subsetting of task 'sanity_switched' 
  DEBUG [02:21:21.780] Calling train method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:21.880] Learner 'classif.rpart:prob' on task 'sanity_switched' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:21.948] Skip subsetting of task 'sanity_switched' 
  DEBUG [02:21:21.973] Calling predict method of Learner 'classif.rpart:prob' on task 'sanity_switched' with 200 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:22.059] Learner 'classif.rpart:prob' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:22.452] Skip subsetting of task 'foo' 
  DEBUG [02:21:22.491] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:22.595] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:23.092] Skip subsetting of task 'foo' 
  DEBUG [02:21:23.123] Calling train method of Learner 'classif.rpart' on task 'foo' with 150 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:23.186] Learner 'classif.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:24.050] Skip subsetting of task 'feat_single_logical' 
  DEBUG [02:21:24.074] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:24.137] 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 [02:21:24.203] Skip subsetting of task 'feat_single_logical' 
  DEBUG [02:21:24.228] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:24.284] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:24.380] Skip subsetting of task 'feat_single_logical' 
  DEBUG [02:21:24.405] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:24.456] 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 [02:21:24.508] Skip subsetting of task 'feat_single_logical' 
  DEBUG [02:21:24.525] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:24.574] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:24.634] Skip subsetting of task 'feat_single_integer' 
  DEBUG [02:21:24.645] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:24.687] 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 [02:21:24.737] Skip subsetting of task 'feat_single_integer' 
  DEBUG [02:21:24.757] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:24.807] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:24.917] Skip subsetting of task 'feat_single_integer' 
  DEBUG [02:21:24.958] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:25.049] 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 [02:21:25.143] Skip subsetting of task 'feat_single_integer' 
  DEBUG [02:21:25.179] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:25.254] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:25.400] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [02:21:25.429] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:25.503] 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 [02:21:25.608] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [02:21:25.621] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:25.693] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:25.849] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [02:21:25.872] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:25.950] 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 [02:21:26.029] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [02:21:26.054] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:26.113] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:26.259] Skip subsetting of task 'feat_single_character' 
  DEBUG [02:21:26.295] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:26.357] 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 [02:21:26.435] Skip subsetting of task 'feat_single_character' 
  DEBUG [02:21:26.461] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:26.533] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:26.658] Skip subsetting of task 'feat_single_character' 
  DEBUG [02:21:26.677] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:26.753] 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 [02:21:26.830] Skip subsetting of task 'feat_single_character' 
  DEBUG [02:21:26.857] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_character' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:26.926] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:27.038] Skip subsetting of task 'feat_single_factor' 
  DEBUG [02:21:27.069] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.136] 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 [02:21:27.209] Skip subsetting of task 'feat_single_factor' 
  DEBUG [02:21:27.234] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.300] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:27.424] Skip subsetting of task 'feat_single_factor' 
  DEBUG [02:21:27.449] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.520] 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 [02:21:27.590] Skip subsetting of task 'feat_single_factor' 
  DEBUG [02:21:27.617] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.665] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:27.726] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [02:21:27.739] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.775] 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 [02:21:27.813] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [02:21:27.826] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.858] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:27.923] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [02:21:27.935] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:27.967] 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 [02:21:28.011] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [02:21:28.030] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:28.080] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:28.315] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [02:21:28.348] Calling train method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:28.382] 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 [02:21:28.418] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [02:21:28.436] Calling predict method of Learner 'regr.featureless:response' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:28.489] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:28.635] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [02:21:28.656] Calling train method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:28.719] 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 [02:21:28.792] Skip subsetting of task 'feat_single_POSIXct' 
  DEBUG [02:21:28.819] Calling predict method of Learner 'regr.featureless:se' on task 'feat_single_POSIXct' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:28.880] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:28.990] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.014] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.077] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:29.146] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.173] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.226] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:29.328] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.350] Calling train method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.397] Learner 'regr.featureless:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:29.440] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.464] Calling predict method of Learner 'regr.featureless:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.479] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:29.520] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.536] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.567] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:29.616] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.639] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.692] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:29.778] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.802] Calling train method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.848] Learner 'regr.featureless:se' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:29.899] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:29.917] Calling predict method of Learner 'regr.featureless:se' on task 'feat_all' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:29.944] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:29.984] Skip subsetting of task 'missings' 
  DEBUG [02:21:29.989] Calling train method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:30.027] Learner 'regr.featureless:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:30.113] Skip subsetting of task 'missings' 
  DEBUG [02:21:30.128] Calling predict method of Learner 'regr.featureless:response' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:30.225] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:30.313] Skip subsetting of task 'missings' 
  DEBUG [02:21:30.333] Calling train method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:30.437] Learner 'regr.featureless:se' on task 'missings' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:30.547] Skip subsetting of task 'missings' 
  DEBUG [02:21:30.572] Calling predict method of Learner 'regr.featureless:se' on task 'missings' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:30.676] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:30.777] Skip subsetting of task 'missings_each_row' 
  DEBUG [02:21:30.800] Calling train method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:30.911] 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 [02:21:31.026] Skip subsetting of task 'missings_each_row' 
  DEBUG [02:21:31.049] Calling predict method of Learner 'regr.featureless:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:31.158] Learner 'regr.featureless:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:31.273] Skip subsetting of task 'missings_each_row' 
  DEBUG [02:21:31.300] Calling train method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:31.425] 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 [02:21:31.558] Skip subsetting of task 'missings_each_row' 
  DEBUG [02:21:31.588] Calling predict method of Learner 'regr.featureless:se' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:31.661] Learner 'regr.featureless:se' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:31.866] Running resample() via future with 1 iterations 
  INFO  [02:21:31.982] Applying learner 'regr.featureless' on task 'mtcars' (iter 1/1) 
  DEBUG [02:21:32.020] Subsetting task 'mtcars' to 21 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [16, 7, 28, 13, 27, 12, 23, 31, 30, 21, 15, 24, 2, 3, 22, 14, 10, 26, 19, 32, 5]}
  DEBUG [02:21:32.042] Calling train method of Learner 'regr.featureless' on task 'mtcars' with 21 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:32.074] Learner 'regr.featureless' on task 'mtcars' succeeded to fit a model {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, result: <regr.featureless_model>, messages: }
  DEBUG [02:21:32.093] Creating Prediction for predict set 'test' 
  DEBUG [02:21:32.121] Subsetting task 'mtcars' to 11 rows {task: <TaskRegr/TaskSupervised/Task/R6>, row_ids: [1, 4, 6, 8, 9, 11, 17, 18, 20, 25, 29]}
  DEBUG [02:21:32.152] Calling predict method of Learner 'regr.featureless' on task 'mtcars' with 11 observations {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>}
  DEBUG [02:21:32.192] Learner 'regr.featureless' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrFeatureless/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:32.206] Erasing stored model for learner 'regr.featureless' 
  DEBUG [02:21:37.536] Skip subsetting of task 'feat_single_logical' 
  DEBUG [02:21:37.557] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:37.624] Learner 'regr.rpart:response' on task 'feat_single_logical' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:37.677] Skip subsetting of task 'feat_single_logical' 
  DEBUG [02:21:37.701] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_logical' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:37.771] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:37.927] Skip subsetting of task 'feat_single_integer' 
  DEBUG [02:21:37.948] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:38.046] Learner 'regr.rpart:response' on task 'feat_single_integer' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:38.104] Skip subsetting of task 'feat_single_integer' 
  DEBUG [02:21:38.123] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_integer' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:38.180] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:38.309] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [02:21:38.329] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:38.408] Learner 'regr.rpart:response' on task 'feat_single_numeric' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:38.461] Skip subsetting of task 'feat_single_numeric' 
  DEBUG [02:21:38.490] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_numeric' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:38.574] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:38.738] Skip subsetting of task 'feat_single_factor' 
  DEBUG [02:21:38.756] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:38.837] Learner 'regr.rpart:response' on task 'feat_single_factor' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:38.911] Skip subsetting of task 'feat_single_factor' 
  DEBUG [02:21:38.939] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_factor' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:39.030] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:39.222] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [02:21:39.241] Calling train method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:39.321] Learner 'regr.rpart:response' on task 'feat_single_ordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:39.379] Skip subsetting of task 'feat_single_ordered' 
  DEBUG [02:21:39.396] Calling predict method of Learner 'regr.rpart:response' on task 'feat_single_ordered' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:39.465] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:39.667] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:39.693] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:39.787] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:39.854] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:39.876] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:39.967] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:40.189] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:40.227] Calling train method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:40.353] Learner 'regr.rpart:response' on task 'feat_all' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:40.444] Skip subsetting of task 'feat_all' 
  DEBUG [02:21:40.476] Calling predict method of Learner 'regr.rpart:response' on task 'feat_all' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:40.571] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:40.784] Skip subsetting of task 'missings' 
  DEBUG [02:21:40.810] Calling train method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:40.967] Learner 'regr.rpart:response' on task 'missings' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:41.102] Skip subsetting of task 'missings' 
  DEBUG [02:21:41.149] Calling predict method of Learner 'regr.rpart:response' on task 'missings' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:41.329] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:41.512] Skip subsetting of task 'missings_each_row' 
  DEBUG [02:21:41.540] Calling train method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:41.688] Learner 'regr.rpart:response' on task 'missings_each_row' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:41.804] Skip subsetting of task 'missings_each_row' 
  DEBUG [02:21:41.824] Calling predict method of Learner 'regr.rpart:response' on task 'missings_each_row' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:41.976] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:42.119] Skip subsetting of task 'weights' 
  DEBUG [02:21:42.148] Calling train method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:42.320] Learner 'regr.rpart:response' on task 'weights' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:42.422] Skip subsetting of task 'weights' 
  DEBUG [02:21:42.448] Calling predict method of Learner 'regr.rpart:response' on task 'weights' with 30 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:42.627] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:42.716] Skip subsetting of task 'sanity' 
  DEBUG [02:21:42.727] Calling train method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:42.775] Learner 'regr.rpart:response' on task 'sanity' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:42.809] Skip subsetting of task 'sanity' 
  DEBUG [02:21:42.823] Calling predict method of Learner 'regr.rpart:response' on task 'sanity' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:42.887] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:43.038] Skip subsetting of task 'sanity_reordered' 
  DEBUG [02:21:43.071] Calling train method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:43.187] Learner 'regr.rpart:response' on task 'sanity_reordered' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:43.280] Skip subsetting of task 'sanity_reordered' 
  DEBUG [02:21:43.316] Calling predict method of Learner 'regr.rpart:response' on task 'sanity_reordered' with 100 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:43.393] Learner 'regr.rpart:response' returned an object of class 'PredictionDataRegr' {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, prediction: <PredictionDataRegr/PredictionData>, messages: }
  DEBUG [02:21:43.951] Skip subsetting of task 'foo' 
  DEBUG [02:21:43.982] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:44.062] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:44.439] Skip subsetting of task 'foo' 
  DEBUG [02:21:44.473] Calling train method of Learner 'regr.rpart' on task 'foo' with 150 observations {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>}
  DEBUG [02:21:44.556] Learner 'regr.rpart' on task 'foo' succeeded to fit a model {learner: <LearnerRegrRpart/LearnerRegr/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:54.538] Running resample() via future with 3 iterations 
  INFO  [02:21:54.688] Applying learner 'classif.featureless' on task 'wine' (iter 2/3) 
  DEBUG [02:21:54.750] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 9, 16, 17, 21, 23, 24, 30, 32, 33, 35, 43, 45, 49, 54, 60, 61, 63, 64, 65, 69, 71, 72, 77, 78, 79, 81, 87, 91, 96, 97, 100, 101, 106, 109, 111, 120, 125, 126, 127, 128, 130, 132, 133, 136, 137, 145, 146, 150, 151, 152, 157, 166, 167..]}
  DEBUG [02:21:54.792] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:54.833] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:54.856] Creating Prediction for predict set 'test' 
  DEBUG [02:21:54.875] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 12, 13, 18, 20, 28, 29, 31, 36, 37, 41, 47, 48, 50, 51, 52, 53, 57, 58, 66, 67, 68, 70, 74, 83, 84, 86, 88, 90, 92, 93, 95, 98, 99, 103, 104, 105, 107, 112, 115, 116, 117, 119, 124, 138, 139, 142, 143, 147, 154, 160, 161, 164, 165, 171..]}
  DEBUG [02:21:54.904] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:54.941] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:54.966] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:21:54.981] Applying learner 'classif.featureless' on task 'wine' (iter 1/3) 
  DEBUG [02:21:55.036] Subsetting task 'wine' to 118 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 12, 13, 18, 20, 28, 29, 31, 36, 37, 41, 47, 48, 50, 51, 52, 53, 57, 58, 66, 67, 68, 70, 74, 83, 84, 86, 88, 90, 92, 93, 95, 98, 99, 103, 104, 105, 107, 112, 115, 116, 117, 119, 124, 138, 139, 142, 143, 147, 154, 160, 161, 164, 165, 171..]}
  DEBUG [02:21:55.064] Calling train method of Learner 'classif.featureless' on task 'wine' with 118 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:55.106] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:55.118] Creating Prediction for predict set 'test' 
  DEBUG [02:21:55.144] Subsetting task 'wine' to 60 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 9, 16, 17, 21, 23, 24, 30, 32, 33, 35, 43, 45, 49, 54, 60, 61, 63, 64, 65, 69, 71, 72, 77, 78, 79, 81, 87, 91, 96, 97, 100, 101, 106, 109, 111, 120, 125, 126, 127, 128, 130, 132, 133, 136, 137, 145, 146, 150, 151, 152, 157, 166, 167..]}
  DEBUG [02:21:55.180] Calling predict method of Learner 'classif.featureless' on task 'wine' with 60 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:55.229] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:55.245] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:21:55.259] Applying learner 'classif.featureless' on task 'wine' (iter 3/3) 
  DEBUG [02:21:55.335] Subsetting task 'wine' to 119 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 7, 8, 9, 16, 17, 21, 23, 24, 30, 32, 33, 35, 43, 45, 49, 54, 60, 61, 63, 64, 65, 69, 71, 72, 77, 78, 79, 81, 87, 91, 96, 97, 100, 101, 106, 109, 111, 120, 125, 126, 127, 128, 130, 132, 133, 136, 137, 145, 146, 150, 151, 152, 157, 166, 167..]}
  DEBUG [02:21:55.364] Calling train method of Learner 'classif.featureless' on task 'wine' with 119 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:55.396] Learner 'classif.featureless' on task 'wine' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:55.417] Creating Prediction for predict set 'test' 
  DEBUG [02:21:55.439] Subsetting task 'wine' to 59 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 4, 10, 11, 14, 15, 19, 22, 25, 26, 27, 34, 38, 39, 40, 42, 44, 46, 55, 56, 59, 62, 73, 75, 76, 80, 82, 85, 89, 94, 102, 108, 110, 113, 114, 118, 121, 122, 123, 129, 131, 134, 135, 140, 141, 144, 148, 149, 153, 155, 156, 158, 159, 162..]}
  DEBUG [02:21:55.468] Calling predict method of Learner 'classif.featureless' on task 'wine' with 59 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:55.505] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:55.528] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:21:56.668] Skip subsetting of task 'sonar' 
  DEBUG [02:21:56.693] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:56.728] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:56.782] Skip subsetting of task 'sonar' 
  DEBUG [02:21:56.802] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:56.840] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:57.116] Skip subsetting of task 'sonar' 
  DEBUG [02:21:57.135] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:57.173] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:57.227] Skip subsetting of task 'sonar' 
  DEBUG [02:21:57.256] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:57.291] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:57.440] Skip subsetting of task 'iris' 
  DEBUG [02:21:57.452] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:57.477] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:57.509] Skip subsetting of task 'iris' 
  DEBUG [02:21:57.527] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:57.551] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:57.657] Skip subsetting of task 'iris' 
  DEBUG [02:21:57.667] Calling train method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:57.713] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:21:57.802] Skip subsetting of task 'iris' 
  DEBUG [02:21:57.823] Calling predict method of Learner 'classif.featureless' on task 'iris' with 150 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:21:57.894] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:21:58.513] Running resample() via future with 1 iterations 
  INFO  [02:21:58.676] Applying learner 'classif.rpart' on task 'sonar' (iter 1/1) 
  DEBUG [02:21:58.726] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [186, 76, 193, 131, 202, 126, 139, 36, 82, 133, 182, 101, 51, 117, 59, 92, 108, 188, 137, 205, 105, 27, 37, 84, 9, 192, 180, 146, 45, 167, 23, 151, 17, 102, 88, 189, 3, 136, 141, 158, 87, 130, 1, 161, 91, 26, 90, 178, 52, 29, 204, 11, 163, 19..]}
  DEBUG [02:21:58.764] Calling train method of Learner 'classif.rpart' on task 'sonar' with 139 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:58.931] Learner 'classif.rpart' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:21:58.949] Creating Prediction for predict set 'test' 
  DEBUG [02:21:58.968] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 8, 10, 12, 13, 22, 30, 32, 34, 35, 38, 39, 41, 43, 44, 46, 47, 49, 63, 64, 67, 71, 74, 77, 81, 86, 89, 93, 94, 98, 104, 109, 110, 111, 113, 119, 120, 121, 124, 127, 135, 138, 143, 145, 147, 149, 150, 152, 153, 155, 156, 157, 160, 164, 168..]}
  DEBUG [02:21:58.999] Calling predict method of Learner 'classif.rpart' on task 'sonar' with 69 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:21:59.081] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [02:22:02.519] Benchmark with 1 resampling iterations 
  DEBUG [02:22:02.527] Running benchmark() asynchronously with 1 iterations 
  INFO  [02:22:02.602] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [02:22:02.652] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [149, 5, 127, 139, 70, 99, 93, 125, 57, 66, 49, 48, 22, 96, 108, 71, 53, 27, 138, 121, 119, 60, 91, 37, 120, 12, 24, 116, 102, 51, 90, 4, 67, 39, 3, 81, 72, 95, 142, 10, 113, 30, 105, 40, 32, 2, 74, 86, 47, 146, 122, 141, 144, 21, 1, 124, 11..]}
  DEBUG [02:22:02.699] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:02.765] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:02.778] Creating Prediction for predict set 'test' 
  DEBUG [02:22:02.801] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 8, 9, 18, 19, 26, 29, 31, 33, 36, 38, 41, 45, 50, 52, 54, 55, 56, 59, 62, 63, 64, 65, 68, 75, 76, 79, 82, 83, 85, 87, 88, 89, 92, 98, 100, 101, 103, 111, 114, 115, 118, 126, 128, 130, 133, 134, 135, 143, 147]}
  DEBUG [02:22:02.824] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:02.880] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:02.896] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:02.925] Finished benchmark 
  DEBUG [02:22:41.630] Running resample() via future with 3 iterations 
  INFO  [02:22:43.534] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [02:22:43.682] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 8, 9, 11, 13, 14, 17, 18, 20, 23, 24, 27, 34, 38, 45, 47, 52, 54, 55, 56, 65, 73, 77, 85, 92, 93, 94, 96, 97, 98, 100, 102, 103, 104, 108, 109, 115, 116, 117, 123, 124, 125, 130, 133, 135, 138, 139, 140, 145, 148, 2, 5, 7, 12, 16, 19, 21..]}
  DEBUG [02:22:43.714] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:43.802] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:43.805] Creating Prediction for predict set 'test' 
  DEBUG [02:22:43.810] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 6, 10, 15, 25, 29, 31, 33, 39, 41, 42, 43, 44, 48, 50, 51, 57, 59, 60, 62, 68, 72, 74, 75, 76, 78, 80, 81, 82, 83, 84, 91, 95, 99, 107, 110, 114, 120, 127, 132, 136, 141, 142, 143, 144, 146, 147, 149, 150]}
  DEBUG [02:22:43.816] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:43.835] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:43.838] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:44.158] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [02:22:44.320] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 8, 9, 11, 13, 14, 17, 18, 20, 23, 24, 27, 34, 38, 45, 47, 52, 54, 55, 56, 65, 73, 77, 85, 92, 93, 94, 96, 97, 98, 100, 102, 103, 104, 108, 109, 115, 116, 117, 123, 124, 125, 130, 133, 135, 138, 139, 140, 145, 148, 3, 4, 6, 10, 15, 25, 29..]}
  DEBUG [02:22:44.359] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:44.451] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:44.454] Creating Prediction for predict set 'test' 
  DEBUG [02:22:44.461] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 5, 7, 12, 16, 19, 21, 22, 26, 28, 30, 32, 35, 36, 37, 40, 46, 49, 53, 58, 61, 63, 64, 66, 67, 69, 70, 71, 79, 86, 87, 88, 89, 90, 101, 105, 106, 111, 112, 113, 118, 119, 121, 122, 126, 128, 129, 131, 134, 137]}
  DEBUG [02:22:44.468] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:44.489] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:44.492] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:44.495] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [02:22:44.512] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 5, 7, 12, 16, 19, 21, 22, 26, 28, 30, 32, 35, 36, 37, 40, 46, 49, 53, 58, 61, 63, 64, 66, 67, 69, 70, 71, 79, 86, 87, 88, 89, 90, 101, 105, 106, 111, 112, 113, 118, 119, 121, 122, 126, 128, 129, 131, 134, 137, 3, 4, 6, 10, 15, 25, 29, 31..]}
  DEBUG [02:22:44.519] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:44.558] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:44.566] Creating Prediction for predict set 'test' 
  DEBUG [02:22:44.576] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 8, 9, 11, 13, 14, 17, 18, 20, 23, 24, 27, 34, 38, 45, 47, 52, 54, 55, 56, 65, 73, 77, 85, 92, 93, 94, 96, 97, 98, 100, 102, 103, 104, 108, 109, 115, 116, 117, 123, 124, 125, 130, 133, 135, 138, 139, 140, 145, 148]}
  DEBUG [02:22:44.586] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:44.611] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:44.615] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:47.939] Benchmark with 3 resampling iterations 
  DEBUG [02:22:47.954] Running benchmark() asynchronously with 3 iterations 
  INFO  [02:22:49.981] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [02:22:50.124] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 10, 11, 13, 14, 15, 17, 20, 23, 24, 25, 26, 28, 29, 32, 35, 36, 38, 42, 44, 52, 53, 56, 59, 61, 62, 63, 64, 66, 75, 78, 83, 84, 89, 97, 98, 102, 104, 105, 107, 108, 117, 124, 130, 133, 134, 143, 147, 149, 150, 4, 5, 6, 7, 9, 12, 16, 18, 1..]}
  DEBUG [02:22:50.158] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:50.240] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:50.244] Creating Prediction for predict set 'test' 
  DEBUG [02:22:50.249] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 8, 22, 27, 31, 33, 39, 40, 43, 48, 51, 57, 58, 60, 67, 69, 71, 74, 76, 77, 79, 81, 82, 85, 90, 91, 92, 95, 96, 99, 101, 106, 109, 111, 113, 114, 119, 122, 126, 127, 129, 132, 135, 137, 138, 139, 140, 144, 145]}
  DEBUG [02:22:50.255] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:50.277] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:50.280] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:50.507] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [02:22:50.666] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 10, 11, 13, 14, 15, 17, 20, 23, 24, 25, 26, 28, 29, 32, 35, 36, 38, 42, 44, 52, 53, 56, 59, 61, 62, 63, 64, 66, 75, 78, 83, 84, 89, 97, 98, 102, 104, 105, 107, 108, 117, 124, 130, 133, 134, 143, 147, 149, 150, 1, 2, 8, 22, 27, 31, 33, 39..]}
  DEBUG [02:22:50.705] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:50.803] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:50.807] Creating Prediction for predict set 'test' 
  DEBUG [02:22:50.813] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 5, 6, 7, 9, 12, 16, 18, 19, 21, 30, 34, 37, 41, 45, 46, 47, 49, 50, 54, 55, 65, 68, 70, 72, 73, 80, 86, 87, 88, 93, 94, 100, 103, 110, 112, 115, 116, 118, 120, 121, 123, 125, 128, 131, 136, 141, 142, 146, 148]}
  DEBUG [02:22:50.820] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:50.839] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:50.843] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:50.846] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [02:22:50.869] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 8, 22, 27, 31, 33, 39, 40, 43, 48, 51, 57, 58, 60, 67, 69, 71, 74, 76, 77, 79, 81, 82, 85, 90, 91, 92, 95, 96, 99, 101, 106, 109, 111, 113, 114, 119, 122, 126, 127, 129, 132, 135, 137, 138, 139, 140, 144, 145, 4, 5, 6, 7, 9, 12, 16, 18..]}
  DEBUG [02:22:50.879] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:50.901] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:50.904] Creating Prediction for predict set 'test' 
  DEBUG [02:22:50.910] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 10, 11, 13, 14, 15, 17, 20, 23, 24, 25, 26, 28, 29, 32, 35, 36, 38, 42, 44, 52, 53, 56, 59, 61, 62, 63, 64, 66, 75, 78, 83, 84, 89, 97, 98, 102, 104, 105, 107, 108, 117, 124, 130, 133, 134, 143, 147, 149, 150]}
  DEBUG [02:22:50.917] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:50.933] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:22:50.937] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:51.149] Finished benchmark 
  DEBUG [02:22:58.808] Running resample() via future with 3 iterations 
  INFO  [02:22:59.232] Applying learner 'classif.rpart' on task 'iris' (iter 3/3) 
  DEBUG [02:22:59.444] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 6, 8, 13, 18, 21, 26, 27, 32, 33, 34, 35, 43, 44, 50, 51, 56, 58, 59, 62, 65, 68, 69, 71, 75, 81, 88, 90, 92, 93, 95, 98, 99, 100, 101, 103, 111, 114, 117, 118, 126, 127, 129, 130, 131, 134, 138, 139, 140, 142, 2, 3, 4, 5, 14, 15, 22, 23..]}
  DEBUG [02:22:59.519] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:22:59.687] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:22:59.725] Creating Prediction for predict set 'test' 
  DEBUG [02:22:59.790] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [7, 9, 10, 11, 12, 16, 17, 19, 20, 24, 28, 30, 31, 36, 37, 39, 40, 45, 47, 52, 53, 55, 57, 63, 66, 67, 72, 73, 74, 76, 77, 80, 82, 89, 94, 96, 97, 102, 104, 106, 119, 122, 123, 125, 133, 135, 136, 144, 147, 149]}
  DEBUG [02:22:59.860] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:00.021] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:00.041] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:22:59.654] Applying learner 'classif.rpart' on task 'iris' (iter 2/3) 
  DEBUG [02:22:59.991] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 6, 8, 13, 18, 21, 26, 27, 32, 33, 34, 35, 43, 44, 50, 51, 56, 58, 59, 62, 65, 68, 69, 71, 75, 81, 88, 90, 92, 93, 95, 98, 99, 100, 101, 103, 111, 114, 117, 118, 126, 127, 129, 130, 131, 134, 138, 139, 140, 142, 7, 9, 10, 11, 12, 16, 17, 1..]}
  DEBUG [02:23:00.090] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:00.337] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:23:00.370] Creating Prediction for predict set 'test' 
  DEBUG [02:23:00.432] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 5, 14, 15, 22, 23, 25, 29, 38, 41, 42, 46, 48, 49, 54, 60, 61, 64, 70, 78, 79, 83, 84, 85, 86, 87, 91, 105, 107, 108, 109, 110, 112, 113, 115, 116, 120, 121, 124, 128, 132, 137, 141, 143, 145, 146, 148, 150]}
  DEBUG [02:23:00.490] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:00.615] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:00.640] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:23:00.660] Applying learner 'classif.rpart' on task 'iris' (iter 1/3) 
  DEBUG [02:23:00.761] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 4, 5, 14, 15, 22, 23, 25, 29, 38, 41, 42, 46, 48, 49, 54, 60, 61, 64, 70, 78, 79, 83, 84, 85, 86, 87, 91, 105, 107, 108, 109, 110, 112, 113, 115, 116, 120, 121, 124, 128, 132, 137, 141, 143, 145, 146, 148, 150, 7, 9, 10, 11, 12, 16, 17..]}
  DEBUG [02:23:00.805] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:00.906] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:23:00.919] Creating Prediction for predict set 'test' 
  DEBUG [02:23:00.949] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 6, 8, 13, 18, 21, 26, 27, 32, 33, 34, 35, 43, 44, 50, 51, 56, 58, 59, 62, 65, 68, 69, 71, 75, 81, 88, 90, 92, 93, 95, 98, 99, 100, 101, 103, 111, 114, 117, 118, 126, 127, 129, 130, 131, 134, 138, 139, 140, 142]}
  DEBUG [02:23:00.976] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:01.035] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:01.056] Erasing stored model for learner 'classif.rpart' 
  DEBUG [02:23:06.809] Running resample() via future with 3 iterations 
  INFO  [02:23:06.991] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [02:23:07.062] 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 [02:23:07.091] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:07.143] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:07.161] Creating Prediction for predict set 'test' 
  DEBUG [02:23:07.183] 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 [02:23:07.218] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:07.278] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:07.295] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:07.314] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [02:23:07.391] 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 [02:23:07.432] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:07.479] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:07.501] Creating Prediction for predict set 'test' 
  DEBUG [02:23:07.536] 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 [02:23:07.567] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:07.639] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:07.667] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:07.687] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [02:23:07.789] 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 [02:23:07.818] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:07.881] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:07.895] Creating Prediction for predict set 'test' 
  DEBUG [02:23:07.944] 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 [02:23:07.985] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:08.053] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:08.072] Erasing stored model for learner 'classif.debug' 
  DEBUG [02:23:08.654] Running resample() via future with 3 iterations 
  INFO  [02:23:10.898] Applying learner 'classif.debug' on task 'wine' (iter 2/3) 
  DEBUG [02:23:11.048] 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 [02:23:11.078] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:11.129] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:11.131] Creating Prediction for predict set 'test' 
  DEBUG [02:23:11.137] 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 [02:23:11.144] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:11.156] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:11.158] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:11.192] Applying learner 'classif.debug' on task 'wine' (iter 3/3) 
  DEBUG [02:23:11.332] 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 [02:23:11.362] Calling train method of Learner 'classif.debug' on task 'wine' with 119 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:11.413] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:11.416] Creating Prediction for predict set 'test' 
  DEBUG [02:23:11.422] 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 [02:23:11.428] Calling predict method of Learner 'classif.debug' on task 'wine' with 59 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:11.439] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:11.442] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:11.444] Applying learner 'classif.debug' on task 'wine' (iter 1/3) 
  DEBUG [02:23:11.458] 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 [02:23:11.464] Calling train method of Learner 'classif.debug' on task 'wine' with 118 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:11.473] Learner 'classif.debug' on task 'wine' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:11.476] Creating Prediction for predict set 'test' 
  DEBUG [02:23:11.481] 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 [02:23:11.488] Calling predict method of Learner 'classif.debug' on task 'wine' with 60 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:11.497] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:11.499] Erasing stored model for learner 'classif.debug' 
  DEBUG [02:23:12.036] Skip subsetting of task 'sonar' 
  DEBUG [02:23:12.044] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:12.055] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:12.112] Skip subsetting of task 'sonar' 
  DEBUG [02:23:12.119] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:12.139] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:12.299] Skip subsetting of task 'sonar' 
  DEBUG [02:23:12.335] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:12.422] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:12.634] Skip subsetting of task 'sonar' 
  DEBUG [02:23:12.661] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:12.753] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:12.970] Skip subsetting of task 'sonar' 
  DEBUG [02:23:13.004] Calling train method of Learner 'classif.featureless' on task 'sonar' with 208 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:13.064] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:13.486] Skip subsetting of task 'sonar' 
  DEBUG [02:23:13.537] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:13.680] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:13.940] Skip subsetting of task 'sonar' 
  DEBUG [02:23:13.980] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:14.063] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:14.313] Skip subsetting of task 'sonar' 
  DEBUG [02:23:14.358] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:14.446] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:14.697] Skip subsetting of task 'sonar' 
  DEBUG [02:23:14.736] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 3 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:14.818] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:15.204] Running resample() via future with 3 iterations 
  INFO  [02:23:15.269] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [02:23:15.303] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 26, 27, 30, 33, 34, 35, 39, 45, 53, 55, 56, 62, 65, 71, 77, 78, 79, 80, 84, 90, 92, 101, 104, 107, 109, 113, 115, 119, 121, 124, 128, 144, 146, 149, 2, 10, 17, 25, 32, 36, 37, 41, 43..]}
  DEBUG [02:23:15.320] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:15.343] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:15.350] Creating Prediction for predict set 'test' 
  DEBUG [02:23:15.358] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 6, 8, 19, 24, 28, 29, 31, 38, 40, 42, 46, 47, 49, 51, 54, 61, 63, 64, 66, 68, 70, 72, 73, 76, 81, 86, 93, 94, 95, 96, 97, 98, 100, 102, 103, 105, 111, 112, 118, 122, 125, 129, 130, 133, 138, 140, 142, 143, 148]}
  DEBUG [02:23:15.366] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:15.377] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [02:23:15.382] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [02:23:15.400] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 6, 8, 19, 24, 28, 29, 31, 38, 40, 42, 46, 47, 49, 51, 54, 61, 63, 64, 66, 68, 70, 72, 73, 76, 81, 86, 93, 94, 95, 96, 97, 98, 100, 102, 103, 105, 111, 112, 118, 122, 125, 129, 130, 133, 138, 140, 142, 143, 148, 2, 10, 17, 25, 32, 36, 37..]}
  DEBUG [02:23:15.408] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:15.420] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:15.424] Creating Prediction for predict set 'test' 
  DEBUG [02:23:15.430] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 26, 27, 30, 33, 34, 35, 39, 45, 53, 55, 56, 62, 65, 71, 77, 78, 79, 80, 84, 90, 92, 101, 104, 107, 109, 113, 115, 119, 121, 124, 128, 144, 146, 149]}
  DEBUG [02:23:15.438] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:15.450] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  INFO  [02:23:15.455] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [02:23:15.483] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 26, 27, 30, 33, 34, 35, 39, 45, 53, 55, 56, 62, 65, 71, 77, 78, 79, 80, 84, 90, 92, 101, 104, 107, 109, 113, 115, 119, 121, 124, 128, 144, 146, 149, 1, 6, 8, 19, 24, 28, 29, 31, 38..]}
  DEBUG [02:23:15.492] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:15.504] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:15.508] Creating Prediction for predict set 'test' 
  DEBUG [02:23:15.515] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 10, 17, 25, 32, 36, 37, 41, 43, 44, 48, 50, 52, 57, 58, 59, 60, 67, 69, 74, 75, 82, 83, 85, 87, 88, 89, 91, 99, 106, 108, 110, 114, 116, 117, 120, 123, 126, 127, 131, 132, 134, 135, 136, 137, 139, 141, 145, 147, 150]}
  DEBUG [02:23:15.523] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:15.538] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:19.616] Running resample() via future with 3 iterations 
  INFO  [02:23:19.744] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [02:23:19.845] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 10, 13, 14, 16, 19, 23, 24, 25, 26, 33, 35, 36, 38, 40, 43, 49, 56, 60, 61, 63, 67, 69, 81, 82, 87, 88, 89, 90, 95, 97, 99, 101, 105, 109, 113, 114, 115, 116, 122, 123, 129, 130, 132, 133, 134, 139, 140, 143, 147, 2, 3, 5, 7, 8, 9, 11, 18..]}
  DEBUG [02:23:19.887] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:19.949] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:19.975] Creating Prediction for predict set 'test' 
  DEBUG [02:23:20.023] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 12, 15, 17, 20, 22, 27, 30, 32, 37, 42, 44, 46, 47, 48, 51, 54, 55, 57, 58, 59, 65, 66, 70, 72, 76, 77, 78, 80, 83, 85, 91, 92, 94, 96, 98, 102, 103, 111, 118, 120, 121, 124, 127, 131, 137, 144, 149, 150]}
  DEBUG [02:23:20.066] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:20.142] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:20.174] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:20.197] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [02:23:20.309] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 10, 13, 14, 16, 19, 23, 24, 25, 26, 33, 35, 36, 38, 40, 43, 49, 56, 60, 61, 63, 67, 69, 81, 82, 87, 88, 89, 90, 95, 97, 99, 101, 105, 109, 113, 114, 115, 116, 122, 123, 129, 130, 132, 133, 134, 139, 140, 143, 147, 1, 4, 12, 15, 17, 20, 22..]}
  DEBUG [02:23:20.355] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:20.440] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:20.467] Creating Prediction for predict set 'test' 
  DEBUG [02:23:20.530] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 5, 7, 8, 9, 11, 18, 21, 28, 29, 31, 34, 39, 41, 45, 50, 52, 53, 62, 64, 68, 71, 73, 74, 75, 79, 84, 86, 93, 100, 104, 106, 107, 108, 110, 112, 117, 119, 125, 126, 128, 135, 136, 138, 141, 142, 145, 146, 148]}
  DEBUG [02:23:20.604] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:20.704] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:20.732] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:20.781] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [02:23:21.031] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 12, 15, 17, 20, 22, 27, 30, 32, 37, 42, 44, 46, 47, 48, 51, 54, 55, 57, 58, 59, 65, 66, 70, 72, 76, 77, 78, 80, 83, 85, 91, 92, 94, 96, 98, 102, 103, 111, 118, 120, 121, 124, 127, 131, 137, 144, 149, 150, 2, 3, 5, 7, 8, 9, 11, 18, 21..]}
  DEBUG [02:23:21.172] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:21.320] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:21.384] Creating Prediction for predict set 'test' 
  DEBUG [02:23:21.445] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [6, 10, 13, 14, 16, 19, 23, 24, 25, 26, 33, 35, 36, 38, 40, 43, 49, 56, 60, 61, 63, 67, 69, 81, 82, 87, 88, 89, 90, 95, 97, 99, 101, 105, 109, 113, 114, 115, 116, 122, 123, 129, 130, 132, 133, 134, 139, 140, 143, 147]}
  DEBUG [02:23:21.540] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:21.653] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:21.682] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:23:23.504] Running resample() via future with 3 iterations 
  INFO  [02:23:23.726] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [02:23:23.808] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 7, 14, 19, 20, 22, 30, 31, 33, 44, 45, 47, 53, 56, 59, 63, 76, 80, 82, 86, 89, 91, 96, 98, 99, 101, 106, 109, 112, 113, 116, 117, 119, 122, 123, 124, 126, 128, 131, 132, 134, 135, 137, 138, 141, 146, 147, 149, 150, 3, 10, 11, 12, 13, 1..]}
  DEBUG [02:23:23.836] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:23.893] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:23.912] Creating Prediction for predict set 'test' 
  DEBUG [02:23:23.951] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 6, 8, 9, 16, 29, 32, 34, 35, 36, 38, 39, 40, 41, 43, 48, 50, 52, 54, 57, 58, 60, 61, 62, 64, 66, 67, 69, 70, 71, 72, 78, 81, 85, 90, 92, 95, 97, 103, 107, 108, 111, 121, 125, 133, 142, 143, 144, 148]}
  DEBUG [02:23:24.006] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:24.056] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:24.082] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:24.100] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [02:23:24.179] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 7, 14, 19, 20, 22, 30, 31, 33, 44, 45, 47, 53, 56, 59, 63, 76, 80, 82, 86, 89, 91, 96, 98, 99, 101, 106, 109, 112, 113, 116, 117, 119, 122, 123, 124, 126, 128, 131, 132, 134, 135, 137, 138, 141, 146, 147, 149, 150, 2, 4, 6, 8, 9, 16, 2..]}
  DEBUG [02:23:24.215] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:24.271] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:24.287] Creating Prediction for predict set 'test' 
  DEBUG [02:23:24.331] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 10, 11, 12, 13, 15, 17, 18, 21, 23, 24, 25, 26, 27, 28, 37, 42, 46, 49, 51, 55, 65, 68, 73, 74, 75, 77, 79, 83, 84, 87, 88, 93, 94, 100, 102, 104, 105, 110, 114, 115, 118, 120, 127, 129, 130, 136, 139, 140, 145]}
  DEBUG [02:23:24.365] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:24.429] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:24.454] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:24.465] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [02:23:24.562] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 6, 8, 9, 16, 29, 32, 34, 35, 36, 38, 39, 40, 41, 43, 48, 50, 52, 54, 57, 58, 60, 61, 62, 64, 66, 67, 69, 70, 71, 72, 78, 81, 85, 90, 92, 95, 97, 103, 107, 108, 111, 121, 125, 133, 142, 143, 144, 148, 3, 10, 11, 12, 13, 15, 17, 18, 21..]}
  DEBUG [02:23:24.597] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:24.647] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:24.668] Creating Prediction for predict set 'test' 
  DEBUG [02:23:24.695] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 7, 14, 19, 20, 22, 30, 31, 33, 44, 45, 47, 53, 56, 59, 63, 76, 80, 82, 86, 89, 91, 96, 98, 99, 101, 106, 109, 112, 113, 116, 117, 119, 122, 123, 124, 126, 128, 131, 132, 134, 135, 137, 138, 141, 146, 147, 149, 150]}
  DEBUG [02:23:24.729] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:24.789] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:24.807] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:23:29.774] Running resample() via future with 3 iterations 
  INFO  [02:23:29.972] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [02:23:30.054] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 10, 14, 16, 19, 22, 24, 25, 26, 27, 28, 29, 35, 41, 44, 47, 49, 51, 53, 54, 57, 63, 72, 85, 87, 88, 89, 90, 91, 95, 97, 99, 102, 107, 108, 114, 115, 118, 119, 120, 121, 123, 126, 130, 132, 133, 137, 143, 149, 4, 5, 8, 9, 17, 18, 20, 21..]}
  DEBUG [02:23:30.096] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:30.143] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:30.168] Creating Prediction for predict set 'test' 
  DEBUG [02:23:30.202] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 7, 11, 12, 13, 15, 23, 31, 33, 34, 36, 37, 38, 39, 42, 48, 50, 52, 56, 61, 64, 67, 70, 73, 75, 76, 79, 81, 83, 96, 101, 103, 104, 106, 111, 116, 117, 122, 125, 134, 135, 138, 139, 140, 141, 145, 146, 147, 150]}
  DEBUG [02:23:30.236] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:30.306] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:30.320] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:30.344] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [02:23:30.442] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 7, 11, 12, 13, 15, 23, 31, 33, 34, 36, 37, 38, 39, 42, 48, 50, 52, 56, 61, 64, 67, 70, 73, 75, 76, 79, 81, 83, 96, 101, 103, 104, 106, 111, 116, 117, 122, 125, 134, 135, 138, 139, 140, 141, 145, 146, 147, 150, 4, 5, 8, 9, 17, 18, 20, 2..]}
  DEBUG [02:23:30.489] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:30.547] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:30.556] Creating Prediction for predict set 'test' 
  DEBUG [02:23:30.601] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 6, 10, 14, 16, 19, 22, 24, 25, 26, 27, 28, 29, 35, 41, 44, 47, 49, 51, 53, 54, 57, 63, 72, 85, 87, 88, 89, 90, 91, 95, 97, 99, 102, 107, 108, 114, 115, 118, 119, 120, 121, 123, 126, 130, 132, 133, 137, 143, 149]}
  DEBUG [02:23:30.643] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:30.695] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:30.717] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:30.743] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [02:23:30.822] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 7, 11, 12, 13, 15, 23, 31, 33, 34, 36, 37, 38, 39, 42, 48, 50, 52, 56, 61, 64, 67, 70, 73, 75, 76, 79, 81, 83, 96, 101, 103, 104, 106, 111, 116, 117, 122, 125, 134, 135, 138, 139, 140, 141, 145, 146, 147, 150, 2, 6, 10, 14, 16, 19, 22..]}
  DEBUG [02:23:30.850] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:30.899] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:30.922] Creating Prediction for predict set 'test' 
  DEBUG [02:23:30.944] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 5, 8, 9, 17, 18, 20, 21, 30, 32, 40, 43, 45, 46, 55, 58, 59, 60, 62, 65, 66, 68, 69, 71, 74, 77, 78, 80, 82, 84, 86, 92, 93, 94, 98, 100, 105, 109, 110, 112, 113, 124, 127, 128, 129, 131, 136, 142, 144, 148]}
  DEBUG [02:23:30.975] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:31.032] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:31.043] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:23:31.836] Running resample() via future with 1 iterations 
  INFO  [02:23:31.951] Applying learner 'classif.featureless' on task 'iris' (iter 1/1) 
  DEBUG [02:23:31.984] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [129, 108, 41, 47, 101, 131, 89, 88, 64, 36, 99, 59, 63, 150, 100, 98, 95, 137, 18, 7, 21, 96, 82, 118, 114, 109, 50, 127, 123, 105, 46, 17, 56, 103, 25, 148, 140, 4, 77, 78, 2, 116, 128, 8, 106, 72, 10, 145, 130, 23, 102, 91, 120, 90, 24, 66..]}
  DEBUG [02:23:32.006] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:32.057] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:32.085] Creating Prediction for predict set 'test' 
  DEBUG [02:23:32.128] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 9, 11, 13, 14, 15, 20, 30, 34, 35, 37, 38, 39, 40, 43, 48, 49, 55, 57, 58, 62, 65, 67, 69, 70, 71, 73, 75, 76, 79, 84, 85, 92, 93, 97, 107, 111, 112, 115, 119, 121, 124, 125, 126, 134, 141, 144, 147, 149]}
  DEBUG [02:23:32.168] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:32.235] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:32.249] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:23:32.632] Running resample() via future with 3 iterations 
  INFO  [02:23:32.811] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [02:23:32.904] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 7, 12, 14, 15, 17, 18, 22, 25, 26, 27, 29, 31, 38, 39, 42, 44, 45, 47, 50, 61, 63, 69, 71, 73, 78, 80, 81, 82, 89, 91, 93, 94, 95, 99, 108, 114, 115, 121, 124, 125, 128, 129, 132, 136, 141, 145, 147, 150, 2, 3, 10, 11, 13, 19, 20, 21..]}
  DEBUG [02:23:32.964] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:33.018] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:33.042] Creating Prediction for predict set 'test' 
  DEBUG [02:23:33.067] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 4, 8, 9, 16, 23, 24, 28, 30, 32, 33, 36, 40, 43, 48, 51, 54, 57, 58, 59, 62, 64, 70, 74, 76, 77, 83, 86, 90, 98, 100, 101, 102, 103, 104, 105, 107, 109, 110, 111, 117, 119, 122, 127, 131, 133, 134, 142, 144, 146]}
  DEBUG [02:23:33.108] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:33.150] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:33.163] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:33.177] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [02:23:33.238] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 10, 11, 13, 19, 20, 21, 34, 35, 37, 41, 46, 49, 52, 53, 55, 56, 60, 65, 66, 67, 68, 72, 75, 79, 84, 85, 87, 88, 92, 96, 97, 106, 112, 113, 116, 118, 120, 123, 126, 130, 135, 137, 138, 139, 140, 143, 148, 149, 1, 4, 8, 9, 16, 23, 24, 28..]}
  DEBUG [02:23:33.280] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:33.324] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:33.355] Creating Prediction for predict set 'test' 
  DEBUG [02:23:33.378] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 7, 12, 14, 15, 17, 18, 22, 25, 26, 27, 29, 31, 38, 39, 42, 44, 45, 47, 50, 61, 63, 69, 71, 73, 78, 80, 81, 82, 89, 91, 93, 94, 95, 99, 108, 114, 115, 121, 124, 125, 128, 129, 132, 136, 141, 145, 147, 150]}
  DEBUG [02:23:33.413] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:33.473] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:33.485] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:33.507] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [02:23:33.589] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [5, 6, 7, 12, 14, 15, 17, 18, 22, 25, 26, 27, 29, 31, 38, 39, 42, 44, 45, 47, 50, 61, 63, 69, 71, 73, 78, 80, 81, 82, 89, 91, 93, 94, 95, 99, 108, 114, 115, 121, 124, 125, 128, 129, 132, 136, 141, 145, 147, 150, 1, 4, 8, 9, 16, 23, 24, 28, 30..]}
  DEBUG [02:23:33.622] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:33.678] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:33.696] Creating Prediction for predict set 'test' 
  DEBUG [02:23:33.726] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 10, 11, 13, 19, 20, 21, 34, 35, 37, 41, 46, 49, 52, 53, 55, 56, 60, 65, 66, 67, 68, 72, 75, 79, 84, 85, 87, 88, 92, 96, 97, 106, 112, 113, 116, 118, 120, 123, 126, 130, 135, 137, 138, 139, 140, 143, 148, 149]}
  DEBUG [02:23:33.762] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:33.812] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:33.826] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:23:34.530] Running resample() via future with 3 iterations 
  INFO  [02:23:34.660] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3) 
  DEBUG [02:23:34.813] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 10, 11, 14, 15, 18, 24, 26, 29, 30, 33, 34, 36, 38, 40, 48, 52, 53, 55, 57, 58, 64, 65, 70, 71, 72, 73, 75, 80, 82, 86, 89, 91, 93, 94, 95, 99, 100, 104, 106, 122, 123, 124, 127, 134, 135, 138, 144, 148, 151, 152, 157, 158, 162, 164, 167..]}
  DEBUG [02:23:34.833] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:34.859] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:34.870] Creating Prediction for predict set 'test' 
  DEBUG [02:23:34.884] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 6, 7, 16, 19, 20, 22, 23, 27, 28, 32, 43, 47, 49, 54, 56, 61, 62, 63, 66, 68, 69, 74, 78, 79, 81, 85, 87, 92, 98, 102, 103, 105, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 128, 129, 130, 133, 141, 143, 147, 150, 153, 154, 155, 1..]}
  DEBUG [02:23:34.902] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:34.928] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:34.939] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:34.950] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3) 
  DEBUG [02:23:34.997] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 3, 6, 7, 16, 19, 20, 22, 23, 27, 28, 32, 43, 47, 49, 54, 56, 61, 62, 63, 66, 68, 69, 74, 78, 79, 81, 85, 87, 92, 98, 102, 103, 105, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 128, 129, 130, 133, 141, 143, 147, 150, 153, 154, 155, 1..]}
  DEBUG [02:23:35.014] Calling train method of Learner 'classif.featureless' on task 'sonar' with 138 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:35.035] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:35.046] Creating Prediction for predict set 'test' 
  DEBUG [02:23:35.062] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 10, 11, 14, 15, 18, 24, 26, 29, 30, 33, 34, 36, 38, 40, 48, 52, 53, 55, 57, 58, 64, 65, 70, 71, 72, 73, 75, 80, 82, 86, 89, 91, 93, 94, 95, 99, 100, 104, 106, 122, 123, 124, 127, 134, 135, 138, 144, 148, 151, 152, 157, 158, 162, 164, 167..]}
  DEBUG [02:23:35.089] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 70 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:35.137] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:35.147] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:35.158] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3) 
  DEBUG [02:23:35.194] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 10, 11, 14, 15, 18, 24, 26, 29, 30, 33, 34, 36, 38, 40, 48, 52, 53, 55, 57, 58, 64, 65, 70, 71, 72, 73, 75, 80, 82, 86, 89, 91, 93, 94, 95, 99, 100, 104, 106, 122, 123, 124, 127, 134, 135, 138, 144, 148, 151, 152, 157, 158, 162, 164, 167..]}
  DEBUG [02:23:35.212] Calling train method of Learner 'classif.featureless' on task 'sonar' with 139 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:35.237] Learner 'classif.featureless' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:35.247] Creating Prediction for predict set 'test' 
  DEBUG [02:23:35.268] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 4, 5, 9, 12, 13, 17, 21, 25, 31, 35, 37, 39, 41, 42, 44, 45, 46, 50, 51, 59, 60, 67, 76, 77, 83, 84, 88, 90, 96, 97, 101, 117, 118, 119, 120, 121, 125, 126, 131, 132, 136, 137, 139, 140, 142, 145, 146, 149, 159, 160, 163, 165, 166, 169, 1..]}
  DEBUG [02:23:35.284] Calling predict method of Learner 'classif.featureless' on task 'sonar' with 69 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:35.312] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:35.320] Erasing stored model for learner 'classif.featureless' 
  DEBUG [02:23:36.957] Running resample() via future with 3 iterations 
  INFO  [02:23:37.246] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [02:23:37.365] 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 [02:23:37.442] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:37.536] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:37.562] Creating Prediction for predict set 'test' 
  DEBUG [02:23:37.613] 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 [02:23:37.671] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:37.764] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:37.795] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:37.829] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [02:23:37.970] 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 [02:23:38.009] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:38.090] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:38.118] Creating Prediction for predict set 'test' 
  DEBUG [02:23:38.171] 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 [02:23:38.208] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:38.256] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:38.268] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:38.277] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [02:23:38.355] 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 [02:23:38.411] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:38.448] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:38.466] Creating Prediction for predict set 'test' 
  DEBUG [02:23:38.486] 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 [02:23:38.518] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:38.552] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:38.570] Erasing stored model for learner 'classif.debug' 
  DEBUG [02:23:39.074] Running resample() via future with 3 iterations 
  INFO  [02:23:39.239] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [02:23:39.332] 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 [02:23:39.367] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:39.444] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:39.456] Creating Prediction for predict set 'test' 
  DEBUG [02:23:39.506] 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 [02:23:39.534] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:39.605] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:39.642] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:39.665] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [02:23:39.777] 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 [02:23:39.820] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:39.877] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:39.910] Creating Prediction for predict set 'test' 
  DEBUG [02:23:39.942] 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 [02:23:39.987] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:40.058] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:40.074] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:40.113] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [02:23:40.209] 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 [02:23:40.259] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:40.321] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:40.340] Creating Prediction for predict set 'test' 
  DEBUG [02:23:40.382] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 5, 11, 12, 13, 15, 19, 20, 26, 27, 30, 42, 43, 46, 47, 49, 50, 55, 58, 62, 65, 66, 79, 86, 87, 90, 91, 96, 97, 100, 105, 109, 110, 111, 114, 115, 116, 121, 122, 123, 126, 131, 132, 133, 135, 136, 137, 139, 146, 148, 150, 151, 161, 164..]}
  DEBUG [02:23:40.417] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:40.492] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:40.511] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:41.643] Benchmark with 6 resampling iterations 
  DEBUG [02:23:41.648] Running benchmark() asynchronously with 6 iterations 
  INFO  [02:23:41.912] Applying learner 'classif.featureless' on task 'iris' (iter 3/3) 
  DEBUG [02:23:42.037] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 17, 22, 24, 26, 28, 31, 39, 42, 48, 50, 52, 59, 62, 65, 66, 67, 73, 74, 76, 77, 80, 81, 89, 90, 91, 94, 96, 99, 101, 102, 107, 108, 113, 115, 116, 118, 120, 122, 124, 125, 126, 131, 132, 134, 137, 141, 144, 145, 1, 2, 7, 8, 9, 12, 15..]}
  DEBUG [02:23:42.081] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:42.157] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:42.173] Creating Prediction for predict set 'test' 
  DEBUG [02:23:42.215] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [3, 5, 10, 11, 13, 14, 19, 20, 21, 25, 29, 33, 35, 36, 38, 40, 43, 49, 51, 54, 55, 56, 58, 61, 64, 68, 69, 71, 75, 78, 83, 84, 87, 92, 93, 95, 103, 104, 105, 106, 109, 110, 111, 133, 135, 138, 140, 142, 147, 148]}
  DEBUG [02:23:42.276] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:42.377] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:42.402] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:42.421] Applying learner 'classif.debug' on task 'sonar' (iter 1/3) 
  DEBUG [02:23:43.103] Subsetting task 'sonar' to 138 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 6, 9, 13, 17, 20, 23, 28, 43, 44, 46, 50, 56, 58, 59, 66, 70, 72, 73, 74, 75, 80, 87, 88, 89, 90, 92, 94, 95, 99, 100, 101, 102, 103, 104, 105, 110, 112, 114, 118, 126, 137, 140, 145, 147, 149, 158, 159, 160, 162, 167, 168, 172, 173, 1..]}
  DEBUG [02:23:43.253] Calling train method of Learner 'classif.debug' on task 'sonar' with 138 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:43.431] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:43.487] Creating Prediction for predict set 'test' 
  DEBUG [02:23:43.616] Subsetting task 'sonar' to 70 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 7, 8, 10, 12, 14, 16, 18, 21, 25, 26, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 45, 47, 51, 53, 55, 60, 63, 68, 76, 78, 82, 86, 98, 111, 113, 115, 117, 120, 121, 122, 124, 130, 131, 133, 135, 136, 139, 148, 155, 156, 157, 165, 166, 169, 170..]}
  DEBUG [02:23:43.711] Calling predict method of Learner 'classif.debug' on task 'sonar' with 70 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:43.877] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:43.942] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:43.990] Applying learner 'classif.featureless' on task 'iris' (iter 2/3) 
  DEBUG [02:23:44.162] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 17, 22, 24, 26, 28, 31, 39, 42, 48, 50, 52, 59, 62, 65, 66, 67, 73, 74, 76, 77, 80, 81, 89, 90, 91, 94, 96, 99, 101, 102, 107, 108, 113, 115, 116, 118, 120, 122, 124, 125, 126, 131, 132, 134, 137, 141, 144, 145, 3, 5, 10, 11, 13, 14, 1..]}
  DEBUG [02:23:44.239] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:44.334] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:44.376] Creating Prediction for predict set 'test' 
  DEBUG [02:23:44.440] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 7, 8, 9, 12, 15, 16, 18, 23, 27, 30, 32, 34, 37, 41, 44, 45, 46, 47, 53, 57, 60, 63, 70, 72, 79, 82, 85, 86, 88, 97, 98, 100, 112, 114, 117, 119, 121, 123, 127, 128, 129, 130, 136, 139, 143, 146, 149, 150]}
  DEBUG [02:23:44.497] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:44.597] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:44.629] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:42.094] Applying learner 'classif.debug' on task 'sonar' (iter 2/3) 
  DEBUG [02:23:42.221] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 7, 8, 10, 12, 14, 16, 18, 21, 25, 26, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 45, 47, 51, 53, 55, 60, 63, 68, 76, 78, 82, 86, 98, 111, 113, 115, 117, 120, 121, 122, 124, 130, 131, 133, 135, 136, 139, 148, 155, 156, 157, 165, 166, 169, 170..]}
  DEBUG [02:23:42.307] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:42.364] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:42.373] Creating Prediction for predict set 'test' 
  DEBUG [02:23:42.399] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 6, 9, 13, 17, 20, 23, 28, 43, 44, 46, 50, 56, 58, 59, 66, 70, 72, 73, 74, 75, 80, 87, 88, 89, 90, 92, 94, 95, 99, 100, 101, 102, 103, 104, 105, 110, 112, 114, 118, 126, 137, 140, 145, 147, 149, 158, 159, 160, 162, 167, 168, 172, 173, 1..]}
  DEBUG [02:23:42.433] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:42.717] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:42.791] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:42.862] Applying learner 'classif.debug' on task 'sonar' (iter 3/3) 
  DEBUG [02:23:43.050] Subsetting task 'sonar' to 139 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 7, 8, 10, 12, 14, 16, 18, 21, 25, 26, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 45, 47, 51, 53, 55, 60, 63, 68, 76, 78, 82, 86, 98, 111, 113, 115, 117, 120, 121, 122, 124, 130, 131, 133, 135, 136, 139, 148, 155, 156, 157, 165, 166, 169, 170..]}
  DEBUG [02:23:43.177] Calling train method of Learner 'classif.debug' on task 'sonar' with 139 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:43.297] Learner 'classif.debug' on task 'sonar' succeeded to fit a model {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, result: <classif.debug_model>, messages: }
  DEBUG [02:23:43.348] Creating Prediction for predict set 'test' 
  DEBUG [02:23:43.409] Subsetting task 'sonar' to 69 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [2, 3, 11, 15, 19, 22, 24, 27, 29, 32, 39, 42, 48, 49, 52, 54, 57, 61, 62, 64, 65, 67, 69, 71, 77, 79, 81, 83, 84, 85, 91, 93, 96, 97, 106, 107, 108, 109, 116, 119, 123, 125, 127, 128, 129, 132, 134, 138, 141, 142, 143, 144, 146, 150, 151, 15..]}
  DEBUG [02:23:43.428] Calling predict method of Learner 'classif.debug' on task 'sonar' with 69 observations {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>}
  DEBUG [02:23:43.451] Learner 'classif.debug' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifDebug/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:43.459] Erasing stored model for learner 'classif.debug' 
  INFO  [02:23:43.467] Applying learner 'classif.featureless' on task 'iris' (iter 1/3) 
  DEBUG [02:23:43.500] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 2, 7, 8, 9, 12, 15, 16, 18, 23, 27, 30, 32, 34, 37, 41, 44, 45, 46, 47, 53, 57, 60, 63, 70, 72, 79, 82, 85, 86, 88, 97, 98, 100, 112, 114, 117, 119, 121, 123, 127, 128, 129, 130, 136, 139, 143, 146, 149, 150, 3, 5, 10, 11, 13, 14, 19, 20..]}
  DEBUG [02:23:43.514] Calling train method of Learner 'classif.featureless' on task 'iris' with 100 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:43.532] Learner 'classif.featureless' on task 'iris' succeeded to fit a model {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, result: <classif.featureless_model>, messages: }
  DEBUG [02:23:43.540] Creating Prediction for predict set 'test' 
  DEBUG [02:23:43.551] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [4, 6, 17, 22, 24, 26, 28, 31, 39, 42, 48, 50, 52, 59, 62, 65, 66, 67, 73, 74, 76, 77, 80, 81, 89, 90, 91, 94, 96, 99, 101, 102, 107, 108, 113, 115, 116, 118, 120, 122, 124, 125, 126, 131, 132, 134, 137, 141, 144, 145]}
  DEBUG [02:23:43.563] Calling predict method of Learner 'classif.featureless' on task 'iris' with 50 observations {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>}
  DEBUG [02:23:43.581] Learner 'classif.featureless' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifFeatureless/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:43.588] Erasing stored model for learner 'classif.featureless' 
  INFO  [02:23:44.740] Finished benchmark 
  DEBUG [02:23:46.884] Running resample() via future with 1 iterations 
  INFO  [02:23:47.198] Applying learner 'classif.rpart' on task 'pima' (iter 1/1) 
  DEBUG [02:23:47.328] Subsetting task 'pima' to 512 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [432, 68, 630, 466, 488, 475, 600, 590, 195, 134, 347, 565, 144, 440, 35, 670, 505, 433, 382, 448, 510, 338, 700, 158, 132, 34, 646, 231, 487, 260, 106, 691, 125, 694, 410, 339, 518, 527, 497, 470, 642, 720, 737, 342, 715, 434, 455, 568, 763..]}
  DEBUG [02:23:47.390] Calling train method of Learner 'classif.rpart' on task 'pima' with 512 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:47.583] Learner 'classif.rpart' on task 'pima' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:23:47.609] Creating Prediction for predict set 'test' 
  DEBUG [02:23:47.654] Subsetting task 'pima' to 256 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [8, 9, 10, 14, 18, 21, 23, 24, 27, 29, 30, 36, 37, 39, 40, 43, 46, 48, 49, 52, 57, 58, 62, 76, 77, 81, 84, 85, 91, 94, 97, 98, 99, 100, 104, 110, 113, 115, 122, 128, 129, 137, 138, 146, 150, 152, 155, 156, 159, 160, 162, 166, 167, 171, 179, 1..]}
  DEBUG [02:23:47.702] Calling predict method of Learner 'classif.rpart' on task 'pima' with 256 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:47.807] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:47.828] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:23:50.230] Benchmark with 3 resampling iterations 
  DEBUG [02:23:50.261] Running benchmark() asynchronously with 3 iterations 
  INFO  [02:23:50.556] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [02:23:50.596] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [127, 85, 112, 53, 134, 77, 40, 38, 87, 9, 141, 2, 145, 73, 64, 102, 88, 101, 114, 71, 142, 129, 21, 111, 70, 63, 138, 18, 42, 56, 137, 22, 33, 132, 12, 31, 20, 117, 115, 30, 67, 123, 147, 44, 13, 32, 107, 45, 146, 140, 91, 113, 65, 60, 58, 1..]}
  DEBUG [02:23:50.610] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:50.653] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:23:50.664] Creating Prediction for predict set 'test' 
  DEBUG [02:23:50.708] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 8, 11, 14, 15, 16, 17, 19, 23, 24, 25, 27, 28, 34, 36, 37, 39, 43, 54, 57, 59, 62, 66, 72, 75, 81, 82, 84, 86, 90, 92, 94, 95, 97, 98, 103, 105, 116, 118, 119, 120, 122, 124, 128, 130, 131, 135, 148, 149]}
  DEBUG [02:23:50.771] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:50.870] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:50.892] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:23:50.786] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [02:23:50.840] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [127, 85, 112, 53, 134, 77, 40, 38, 87, 9, 141, 2, 145, 73, 64, 102, 88, 101, 114, 71, 142, 129, 21, 111, 70, 63, 138, 18, 42, 56, 137, 22, 33, 132, 12, 31, 20, 117, 115, 30, 67, 123, 147, 44, 13, 32, 107, 45, 146, 140, 91, 113, 65, 60, 58, 1..]}
  DEBUG [02:23:50.865] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:50.926] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:23:50.932] Creating Prediction for predict set 'test' 
  DEBUG [02:23:50.944] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 8, 11, 14, 15, 16, 17, 19, 23, 24, 25, 27, 28, 34, 36, 37, 39, 43, 54, 57, 59, 62, 66, 72, 75, 81, 82, 84, 86, 90, 92, 94, 95, 97, 98, 103, 105, 116, 118, 119, 120, 122, 124, 128, 130, 131, 135, 148, 149]}
  DEBUG [02:23:50.962] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:51.019] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:51.052] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:23:51.076] Applying learner 'classif.rpart' on task 'iris' (iter 1/1) 
  DEBUG [02:23:51.153] Subsetting task 'iris' to 100 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [127, 85, 112, 53, 134, 77, 40, 38, 87, 9, 141, 2, 145, 73, 64, 102, 88, 101, 114, 71, 142, 129, 21, 111, 70, 63, 138, 18, 42, 56, 137, 22, 33, 132, 12, 31, 20, 117, 115, 30, 67, 123, 147, 44, 13, 32, 107, 45, 146, 140, 91, 113, 65, 60, 58, 1..]}
  DEBUG [02:23:51.199] Calling train method of Learner 'classif.rpart' on task 'iris' with 100 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:51.313] Learner 'classif.rpart' on task 'iris' succeeded to fit a model {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, result: <rpart>, messages: }
  DEBUG [02:23:51.334] Creating Prediction for predict set 'test' 
  DEBUG [02:23:51.369] Subsetting task 'iris' to 50 rows {task: <TaskClassif/TaskSupervised/Task/R6>, row_ids: [1, 5, 8, 11, 14, 15, 16, 17, 19, 23, 24, 25, 27, 28, 34, 36, 37, 39, 43, 54, 57, 59, 62, 66, 72, 75, 81, 82, 84, 86, 90, 92, 94, 95, 97, 98, 103, 105, 116, 118, 119, 120, 122, 124, 128, 130, 131, 135, 148, 149]}
  DEBUG [02:23:51.413] Calling predict method of Learner 'classif.rpart' on task 'iris' with 50 observations {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>}
  DEBUG [02:23:51.855] Learner 'classif.rpart' returned an object of class 'PredictionDataClassif' {learner: <LearnerClassifRpart/LearnerClassif/Learner/R6>, prediction: <PredictionDataClassif/PredictionData>, messages: }
  DEBUG [02:23:51.935] Erasing stored model for learner 'classif.rpart' 
  INFO  [02:23:52.026] 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