10437836 11497 Fares Gaaloul 2275 Supervised Classification predictive_accuracy 17593 sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,rf=sklearn.ensemble.forest.RandomForestClassifier)(2) 8260898 copy true 17467 fill_value null 17467 missing_values NaN 17467 strategy "constant" 17467 verbose 0 17467 bootstrap true 17478 class_weight null 17478 criterion "gini" 17478 max_depth null 17478 max_features "auto" 17478 max_leaf_nodes null 17478 min_impurity_decrease 0.0 17478 min_impurity_split null 17478 min_samples_leaf 1 17478 min_samples_split 2 17478 min_weight_fraction_leaf 0.0 17478 n_estimators 100 17478 n_jobs null 17478 oob_score false 17478 random_state 31461 17478 verbose 0 17478 warm_start false 17478 memory null 17593 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fs", "step_name": "fs"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}] 17593 percentile 80 17594 score_func {"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_classif"} 17594 openml-python Sklearn_0.20.3. 278 meta_instanceincremental.arff https://www.openml.org/data/download/12456/meta_instanceincremental.arff -1 21800025 description https://api.openml.org/data/download/21800025/description.xml -1 21800026 predictions https://api.openml.org/data/download/21800026/predictions.arff area_under_roc_curve 0.9652813529574094 [0.944129,0.968519,0.97265,0.941315] average_cost 0 f_measure 0.8772229517919174 [0.545455,0.931034,0.875,0.8] kappa 0.7090909090909091 kb_relative_information_score 0.5970031541026837 mean_absolute_error 0.11006756756756758 mean_prior_absolute_error 0.22765072765072786 weighted_recall 0.8918918918918919 [0.375,1,0.777778,0.666667] number_of_instances 74 [8,54,9,3] precision 0.9058413251961639 [1,0.870968,1,1] predictive_accuracy 0.8918918918918919 prior_entropy 1.238778199999325 relative_absolute_error 0.48349315068493115 root_mean_prior_squared_error 0.3317335939498282 root_mean_squared_error 0.20753866458396925 root_relative_squared_error 0.625618473284191 total_cost 0 unweighted_recall 0.704861111111111 [0.375,1,0.777778,0.666667] area_under_roc_curve 1 [1,1,1,0.0] area_under_roc_curve 0.8392857142857143 [0.0,0.833333,1,0.714286] area_under_roc_curve 1 [0.0,1,1,1] area_under_roc_curve 0.9226190476190477 [0.714286,0.933333,1,1] area_under_roc_curve 1 [1,1,1,0.0] area_under_roc_curve 1 [1,1,1,0.0] area_under_roc_curve 1 [1,1,1,0.0] area_under_roc_curve 0.9523809523809524 [1,1,0.666667,0.0] area_under_roc_curve 0.9047619047619048 [0.833333,0.9,1,0.0] area_under_roc_curve 1 [1,1,0.0,0.0] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 1 [1,1,1,0.0] f_measure 1 [0.0,1,1,1] f_measure 1 [1,1,1,0.0] kappa 1 kappa 0.6190476190476191 kappa 1 kappa 0.75 kappa 0 kappa 0.6111111111111109 kappa 1 kappa 0.6111111111111109 kappa 0.6111111111111109 kappa 0 kb_relative_information_score 0.8133298930869697 kb_relative_information_score 0.3463384165270855 kb_relative_information_score 0.8192298094843581 kb_relative_information_score 0.5801172186983137 kb_relative_information_score 0.46841371263483184 kb_relative_information_score 0.7581288797399576 kb_relative_information_score 0.5877893936976932 kb_relative_information_score 0.45110634305668584 kb_relative_information_score 0.5763578242103637 kb_relative_information_score 0.5598709344042707 mean_absolute_error 0.06625 mean_absolute_error 0.135625 mean_absolute_error 0.07062500000000001 mean_absolute_error 0.140625 mean_absolute_error 0.13285714285714287 mean_absolute_error 0.07928571428571429 mean_absolute_error 0.11857142857142858 mean_absolute_error 0.14071428571428574 mean_absolute_error 0.11857142857142858 mean_absolute_error 0.10142857142857144 mean_prior_absolute_error 0.2203525641025641 mean_prior_absolute_error 0.22435897435897434 mean_prior_absolute_error 0.22435897435897434 mean_prior_absolute_error 0.26121794871794873 mean_prior_absolute_error 0.23076923076923078 mean_prior_absolute_error 0.23076923076923078 mean_prior_absolute_error 0.23076923076923078 mean_prior_absolute_error 0.23076923076923078 mean_prior_absolute_error 0.23076923076923078 mean_prior_absolute_error 0.18956043956043958 number_of_instances 8 [1,6,1,0] number_of_instances 8 [0,6,1,1] number_of_instances 8 [0,6,1,1] number_of_instances 8 [1,5,1,1] number_of_instances 7 [1,5,1,0] number_of_instances 7 [1,5,1,0] number_of_instances 7 [1,5,1,0] number_of_instances 7 [1,5,1,0] number_of_instances 7 [1,5,1,0] number_of_instances 7 [1,6,0,0] precision 1 [1,1,1,0.0] precision 1 [0.0,1,1,1] precision 1 [1,1,1,0.0] predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.8571428571428571 predictive_accuracy 1 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8571428571428571 prior_entropy 1.1379007966775443 prior_entropy 1.2841414218578335 prior_entropy 1.2841414218578335 prior_entropy 1.6105707608681268 prior_entropy 1.2284519811546808 prior_entropy 1.2284519811546808 prior_entropy 1.2284519811546808 prior_entropy 1.2284519811546808 prior_entropy 1.2284519811546808 prior_entropy 0.8771046070636382 relative_absolute_error 0.30065454545454545 relative_absolute_error 0.6045 relative_absolute_error 0.31478571428571434 relative_absolute_error 0.5383435582822086 relative_absolute_error 0.5757142857142857 relative_absolute_error 0.3435714285714285 relative_absolute_error 0.5138095238095238 relative_absolute_error 0.6097619047619048 relative_absolute_error 0.5138095238095238 relative_absolute_error 0.5350724637681159 root_mean_prior_squared_error 0.32054487019246797 root_mean_prior_squared_error 0.3267344855737092 root_mean_prior_squared_error 0.3267344855737092 root_mean_prior_squared_error 0.3789649039450629 root_mean_prior_squared_error 0.33640107085645965 root_mean_prior_squared_error 0.33640107085645965 root_mean_prior_squared_error 0.33640107085645965 root_mean_prior_squared_error 0.33640107085645965 root_mean_prior_squared_error 0.33640107085645965 root_mean_prior_squared_error 0.26824781315899215 root_mean_squared_error 0.10404326023342404 root_mean_squared_error 0.2574757270113049 root_mean_squared_error 0.11308182877898643 root_mean_squared_error 0.25809397513308985 root_mean_squared_error 0.2484523524311481 root_mean_squared_error 0.16966353257466463 root_mean_squared_error 0.19159108240506095 root_mean_squared_error 0.24784787961282104 root_mean_squared_error 0.22783139129001267 root_mean_squared_error 0.18947295321496416 root_relative_squared_error 0.3245825152995033 root_relative_squared_error 0.7880273995541252 root_relative_squared_error 0.34609701078974686 root_relative_squared_error 0.681049808165098 root_relative_squared_error 0.7385599332326777 root_relative_squared_error 0.5043489669718056 root_relative_squared_error 0.5695317256787561 root_relative_squared_error 0.736763051858941 root_relative_squared_error 0.6772611951262991 root_relative_squared_error 0.7063354999381201 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.75 [0,1,1,1] usercpu_time_millis 110.28367799998762 usercpu_time_millis 102.06589299998825 usercpu_time_millis 103.80193200001031 usercpu_time_millis 110.2120400000075 usercpu_time_millis 107.2721770000129 usercpu_time_millis 103.00632499999551 usercpu_time_millis 102.62736399999994 usercpu_time_millis 103.612456999997 usercpu_time_millis 126.20484999999348 usercpu_time_millis 103.13891200000569 usercpu_time_millis_testing 5.350406999994561 usercpu_time_millis_testing 4.71215299999983 usercpu_time_millis_testing 4.924424999998678 usercpu_time_millis_testing 4.862951000006888 usercpu_time_millis_testing 4.6596800000031635 usercpu_time_millis_testing 4.805392999998048 usercpu_time_millis_testing 5.035818999999719 usercpu_time_millis_testing 4.704283999998893 usercpu_time_millis_testing 5.63277899999548 usercpu_time_millis_testing 4.85888500000442 usercpu_time_millis_training 104.93327099999306 usercpu_time_millis_training 97.35373999998842 usercpu_time_millis_training 98.87750700001163 usercpu_time_millis_training 105.34908900000062 usercpu_time_millis_training 102.61249700000974 usercpu_time_millis_training 98.20093199999747 usercpu_time_millis_training 97.59154500000022 usercpu_time_millis_training 98.9081729999981 usercpu_time_millis_training 120.572070999998 usercpu_time_millis_training 98.28002700000127 wall_clock_time_millis 110.46504974365234 wall_clock_time_millis 102.07796096801758 wall_clock_time_millis 103.85751724243164 wall_clock_time_millis 109.97509956359863 wall_clock_time_millis 107.28144645690918 wall_clock_time_millis 103.0123233795166 wall_clock_time_millis 102.63299942016602 wall_clock_time_millis 103.65843772888184 wall_clock_time_millis 126.3890266418457 wall_clock_time_millis 103.1637191772461 wall_clock_time_millis_testing 5.362749099731445 wall_clock_time_millis_testing 4.714488983154297 wall_clock_time_millis_testing 4.926919937133789 wall_clock_time_millis_testing 4.8656463623046875 wall_clock_time_millis_testing 4.670858383178711 wall_clock_time_millis_testing 4.8084259033203125 wall_clock_time_millis_testing 5.039215087890625 wall_clock_time_millis_testing 4.707098007202148 wall_clock_time_millis_testing 5.6362152099609375 wall_clock_time_millis_testing 4.8618316650390625 wall_clock_time_millis_training 105.1023006439209 wall_clock_time_millis_training 97.36347198486328 wall_clock_time_millis_training 98.93059730529785 wall_clock_time_millis_training 105.10945320129395 wall_clock_time_millis_training 102.61058807373047 wall_clock_time_millis_training 98.20389747619629 wall_clock_time_millis_training 97.59378433227539 wall_clock_time_millis_training 98.95133972167969 wall_clock_time_millis_training 120.75281143188477 wall_clock_time_millis_training 98.30188751220703 weighted_recall 1 [1,1,1,0.0] weighted_recall 0.875 [0.0,1,1,0] weighted_recall 1 [0.0,1,1,1] weighted_recall 0.875 [0,1,1,1] weighted_recall 0.7142857142857143 [0,1,0,0.0] weighted_recall 0.8571428571428571 [0,1,1,0.0] weighted_recall 1 [1,1,1,0.0] weighted_recall 0.8571428571428571 [1,1,0,0.0] weighted_recall 0.8571428571428571 [0,1,1,0.0] weighted_recall 0.8571428571428571 [0,1,0.0,0.0]