8609 3229 Test Test 259 Supervised Classification 31001 sklearn.ensemble._forest.RandomForestClassifier(7) 6918 Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1. bootstrap true 31001 ccp_alpha 0.0 31001 class_weight null 31001 criterion "gini" 31001 max_depth null 31001 max_features "sqrt" 31001 max_leaf_nodes null 31001 max_samples null 31001 min_impurity_decrease 0.0 31001 min_samples_leaf 1 31001 min_samples_split 2 31001 min_weight_fraction_leaf 0.0 31001 n_estimators 100 31001 n_jobs null 31001 oob_score false 31001 random_state 48179 31001 verbose 0 31001 warm_start false 31001 openml-python Sklearn_1.3.2. 44 collins https://www.openml.org/data/download/52590/collins.arff -1 21310 description https://test.openml.org/data/download/21310/description.xml -1 21311 predictions https://test.openml.org/data/download/21311/predictions.arff area_under_roc_curve 0.9935586804223271 [0.999452,0.992796,0.991292,0.967726,0.979436,0.990298,0.99851,0.996667,0.99997,0.994912,0.98525,0.986167,0.997474,0.993704,0.995021] average_cost 0 f_measure 0.876433498483723 [0.966292,0.857143,0.733333,0.666667,0.756757,0.875,0.949367,0.931034,0.993789,0.912281,0.808511,0.285714,0.95082,0.830769,0.181818] kappa 0.8740153303450654 kb_relative_information_score 0.6634654811576519 mean_absolute_error 0.07008800000000001 mean_prior_absolute_error 0.12117333333333336 weighted_recall 0.886 [0.977273,0.888889,0.647059,0.588235,0.777778,0.875,1,0.9,1,0.896552,0.791667,0.166667,1,0.931034,0.111111] number_of_instances 500 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9] precision 0.8827500722233798 [0.955556,0.827586,0.846154,0.769231,0.736842,0.875,0.903614,0.964286,0.987654,0.928571,0.826087,1,0.90625,0.75,0.5] predictive_accuracy 0.8859999999999999 prior_entropy 3.648896764725036 relative_absolute_error 0.5784110915492957 root_mean_prior_squared_error 0.24604680271487664 root_mean_squared_error 0.15858709489320583 root_relative_squared_error 0.644540360384115 total_cost 0 unweighted_recall 0.7700842775284965 [0.977273,0.888889,0.647059,0.588235,0.777778,0.875,1,0.9,1,0.896552,0.791667,0.166667,1,0.931034,0.111111] area_under_roc_curve 0.9963079453181212 [1,0.978723,1,1,0.983696,0.988889,1,1,1,1,1,1,1,1,0.0] area_under_roc_curve 0.9983285270629991 [0.997283,1,1,1,1,1,1,1,1,1,1,1,1,0.96875,0.989796] area_under_roc_curve 0.9904657960316412 [1,1,0.989583,1,0.972826,0.96,1,0.978723,1,1,0.979167,0.979592,1,0.992908,1] area_under_roc_curve 0.9987222222222222 [0.995556,1,0.979167,1,1,1,1,1,1,1,1,0.0,1,1,1] area_under_roc_curve 0.9950227412889301 [1,1,1,0.989583,0.945652,1,1,1,1,1,1,0.0,1,0.996454,1] area_under_roc_curve 0.9924424873248714 [1,0.985816,1,0.959184,0.970109,0.977778,1,1,1,0.985816,1,0.0,1,0.992908,1] area_under_roc_curve 0.987588736913205 [1,0.968085,0.989583,0.642857,0.992908,0.995556,0.991071,0.989362,1,1,1,0.0,1,1,1] area_under_roc_curve 0.99384715588363 [1,1,1,0.979592,0.939716,1,1,1,1,0.996454,1,1,0.989362,0.978723,1] area_under_roc_curve 0.9913728470111449 [1,1,1,0.958333,0.996454,1,1,1,1,1,0.929078,0.928571,0.98227,1,1] area_under_roc_curve 0.9941905244367252 [1,1,1,0.994792,1,0.982222,0.997024,1,1,0.963542,0.985816,0.989796,0.992908,1,0.979592] 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 0.96 [1,1,1,1,0.75,0.8,1,1,1,1,1,1,1,1,0.0] f_measure 0.9581471861471862 [0.909091,0.8,0.666667,1,0.857143,1,1,1,1,1,1,0.0,1,1,1] kappa 0.9559471365638766 kappa 0.9118942731277534 kappa 0.8456109395677105 kappa 0.9558888398764888 kappa 0.9338040600176521 kappa 0.7993758359340168 kappa 0.8217468805704099 kappa 0.8228520814880425 kappa 0.8450641876936698 kappa 0.8447893569844789 kb_relative_information_score 0.6800838639524908 kb_relative_information_score 0.6827205271175117 kb_relative_information_score 0.6590180787446727 kb_relative_information_score 0.6752085659073296 kb_relative_information_score 0.7063874722525046 kb_relative_information_score 0.6467717207772757 kb_relative_information_score 0.6416949130661762 kb_relative_information_score 0.6548176067990846 kb_relative_information_score 0.6520497787359486 kb_relative_information_score 0.6356373507198569 mean_absolute_error 0.06925333333333338 mean_absolute_error 0.0686666666666667 mean_absolute_error 0.07074666666666668 mean_absolute_error 0.06896000000000001 mean_absolute_error 0.06352000000000001 mean_absolute_error 0.07160000000000002 mean_absolute_error 0.0717066666666667 mean_absolute_error 0.07144000000000003 mean_absolute_error 0.07120000000000001 mean_absolute_error 0.07378666666666667 mean_prior_absolute_error 0.12123754045307447 mean_prior_absolute_error 0.12137734627831719 mean_prior_absolute_error 0.12136699029126218 mean_prior_absolute_error 0.12117022653721687 mean_prior_absolute_error 0.12117022653721687 mean_prior_absolute_error 0.12088025889967641 mean_prior_absolute_error 0.12091650485436897 mean_prior_absolute_error 0.12123754045307447 mean_prior_absolute_error 0.12123754045307447 mean_prior_absolute_error 0.12113915857605181 weighted_recall 0.96 [1,1,1,1,0.75,0.8,1,1,1,1,1,1,1,1,0.0] weighted_recall 0.92 [1,1,1,0.5,1,1,1,1,1,1,1,0,1,0.5,0] weighted_recall 0.86 [1,1,0.5,1,1,0.6,1,0.666667,1,1,0.5,0,1,1,0] weighted_recall 0.96 [1,1,0.5,1,0.75,1,1,1,1,1,1,0.0,1,1,1] weighted_recall 0.94 [1,1,0.5,1,0.75,1,1,1,1,1,1,0.0,1,1,0] weighted_recall 0.82 [1,0.666667,0,0,0.5,0.8,1,1,1,0.666667,1,0.0,1,1,0] weighted_recall 0.84 [0.8,0.333333,0.5,0,0.666667,1,1,0.666667,1,1,1,0.0,1,1,0] weighted_recall 0.84 [1,1,1,0,0.333333,0.75,1,0.666667,1,1,0.666667,0,1,1,0] weighted_recall 0.86 [1,1,1,0,1,1,1,1,1,0.666667,0.333333,0,1,1,0] weighted_recall 0.86 [1,1,1,0.5,1,0.8,1,1,1,0.5,0.666667,0,1,0.666667,0] number_of_instances 50 [4,3,1,2,4,5,7,3,8,3,3,1,3,3,0] number_of_instances 50 [4,3,2,2,4,5,7,3,8,3,2,1,3,2,1] number_of_instances 50 [4,2,2,2,4,5,7,3,8,3,2,1,3,3,1] number_of_instances 50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1] number_of_instances 50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1] number_of_instances 50 [5,3,2,1,4,5,8,3,8,3,2,0,2,3,1] number_of_instances 50 [5,3,2,1,3,5,8,3,8,3,2,0,3,3,1] number_of_instances 50 [4,3,2,1,3,4,8,3,8,3,3,1,3,3,1] number_of_instances 50 [4,3,1,2,3,4,8,3,8,3,3,1,3,3,1] number_of_instances 50 [4,3,1,2,3,5,8,3,8,2,3,1,3,3,1] precision 0.96 [1,1,1,1,0.75,0.8,1,1,1,1,1,1,1,1,0.0] precision 0.97 [0.833333,0.666667,1,1,1,1,1,1,1,1,1,0.0,1,1,1] predictive_accuracy 0.96 predictive_accuracy 0.92 predictive_accuracy 0.86 predictive_accuracy 0.96 predictive_accuracy 0.94 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.86 prior_entropy 3.6478599172883523 prior_entropy 3.689037791069424 prior_entropy 3.6870470775984057 prior_entropy 3.633357114112964 prior_entropy 3.633357114112964 prior_entropy 3.593787777343957 prior_entropy 3.5998390327443657 prior_entropy 3.672946069316617 prior_entropy 3.672946069316617 prior_entropy 3.658789684346483 relative_absolute_error 0.5712202101306911 relative_absolute_error 0.5657288511582271 relative_absolute_error 0.5829152267588207 relative_absolute_error 0.5691167044143411 relative_absolute_error 0.524221187128755 relative_absolute_error 0.5923216962947099 relative_absolute_error 0.5930262932511134 relative_absolute_error 0.5892564277782524 relative_absolute_error 0.5872768429144954 relative_absolute_error 0.6091066467193843 root_mean_prior_squared_error 0.24617724558934095 root_mean_prior_squared_error 0.24646103560440827 root_mean_prior_squared_error 0.246440025328968 root_mean_prior_squared_error 0.2460404892087826 root_mean_prior_squared_error 0.2460404892087826 root_mean_prior_squared_error 0.2454505137345543 root_mean_prior_squared_error 0.24552433819735506 root_mean_prior_squared_error 0.24617724558934095 root_mean_prior_squared_error 0.24617724558934095 root_mean_prior_squared_error 0.24597734523514972 root_mean_squared_error 0.15571769327857385 root_mean_squared_error 0.15382934267124287 root_mean_squared_error 0.1613600528838122 root_mean_squared_error 0.15480999106431514 root_mean_squared_error 0.14547760423286235 root_mean_squared_error 0.1608949968146928 root_mean_squared_error 0.16098695599333504 root_mean_squared_error 0.16465802946308652 root_mean_squared_error 0.16178998732925348 root_mean_squared_error 0.1653118265581746 root_relative_squared_error 0.63254299927595 root_relative_squared_error 0.6241527886710359 root_relative_squared_error 0.6547639843341835 root_relative_squared_error 0.6292053456817346 root_relative_squared_error 0.5912750568034126 root_relative_squared_error 0.6555089022494157 root_relative_squared_error 0.6556863452939318 root_relative_squared_error 0.6688596627559957 root_relative_squared_error 0.6572093490685262 root_relative_squared_error 0.6720611867736828 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 usercpu_time_millis 181.65690000000012 usercpu_time_millis 183.3954999999996 usercpu_time_millis 185.0986999999975 usercpu_time_millis 181.83420000000083 usercpu_time_millis 182.02159999999878 usercpu_time_millis 183.6550999999993 usercpu_time_millis 183.70439999999988 usercpu_time_millis 183.19850000000315 usercpu_time_millis 182.5966000000001 usercpu_time_millis 183.74279999999743 usercpu_time_millis_testing 7.1966000000003305 usercpu_time_millis_testing 7.177399999999778 usercpu_time_millis_testing 7.350499999997595 usercpu_time_millis_testing 7.29610000000136 usercpu_time_millis_testing 7.288599999998979 usercpu_time_millis_testing 7.334199999998958 usercpu_time_millis_testing 7.535799999999426 usercpu_time_millis_testing 7.33770000000078 usercpu_time_millis_testing 7.382799999998468 usercpu_time_millis_testing 7.32839999999868 usercpu_time_millis_training 174.4602999999998 usercpu_time_millis_training 176.21809999999982 usercpu_time_millis_training 177.7481999999999 usercpu_time_millis_training 174.53809999999947 usercpu_time_millis_training 174.7329999999998 usercpu_time_millis_training 176.32090000000034 usercpu_time_millis_training 176.16860000000045 usercpu_time_millis_training 175.86080000000237 usercpu_time_millis_training 175.21380000000164 usercpu_time_millis_training 176.41439999999875 wall_clock_time_millis 181.6730499267578 wall_clock_time_millis 183.40182304382324 wall_clock_time_millis 185.1048469543457 wall_clock_time_millis 181.86211585998535 wall_clock_time_millis 182.0385456085205 wall_clock_time_millis 183.66217613220215 wall_clock_time_millis 183.71105194091797 wall_clock_time_millis 183.20584297180176 wall_clock_time_millis 182.63530731201172 wall_clock_time_millis 183.7482452392578 wall_clock_time_millis_training 174.47185516357422 wall_clock_time_millis_training 176.21946334838867 wall_clock_time_millis_training 177.7501106262207 wall_clock_time_millis_training 174.5619773864746 wall_clock_time_millis_training 174.7443675994873 wall_clock_time_millis_training 176.32317543029785 wall_clock_time_millis_training 176.17058753967285 wall_clock_time_millis_training 175.86326599121094 wall_clock_time_millis_training 175.2471923828125 wall_clock_time_millis_training 176.41639709472656 wall_clock_time_millis_testing 7.201194763183594 wall_clock_time_millis_testing 7.18235969543457 wall_clock_time_millis_testing 7.354736328125 wall_clock_time_millis_testing 7.300138473510742 wall_clock_time_millis_testing 7.294178009033203 wall_clock_time_millis_testing 7.339000701904297 wall_clock_time_millis_testing 7.540464401245117 wall_clock_time_millis_testing 7.34257698059082 wall_clock_time_millis_testing 7.388114929199219 wall_clock_time_millis_testing 7.33184814453125 unweighted_recall 0.8 [1,1,1,0.5,1,1,1,1,1,1,1,0,1,0.5,0] unweighted_recall 0.7511111111111111 [1,1,0.5,1,1,0.6,1,0.666667,1,1,0.5,0,1,1,0] unweighted_recall 0.6944444444444445 [1,1,1,0,0.333333,0.75,1,0.666667,1,1,0.666667,0,1,1,0] unweighted_recall 0.7333333333333333 [1,1,1,0,1,1,1,1,1,0.666667,0.333333,0,1,1,0] unweighted_recall 0.7422222222222222 [1,1,1,0.5,1,0.8,1,1,1,0.5,0.666667,0,1,0.666667,0]