10589095 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19167 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.RandomForestClassifier)(1) 8304105 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 bootstrap true 19095 ccp_alpha 0.0 19095 class_weight null 19095 criterion "gini" 19095 max_depth null 19095 max_features "auto" 19095 max_leaf_nodes null 19095 max_samples null 19095 min_impurity_decrease 0.0 19095 min_samples_leaf 1 19095 min_samples_split 2 19095 min_weight_fraction_leaf 0.0 19095 n_estimators 100 19095 n_jobs null 19095 oob_score false 19095 random_state 0 19095 verbose 0 19095 warm_start false 19095 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19167 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19167 verbose false 19167 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22105757 description https://api.openml.org/data/download/22105757/description.xml -1 22105758 predictions https://api.openml.org/data/download/22105758/predictions.arff area_under_roc_curve 0.9840883501350729 [0.984088,0.984088] average_cost 0 f_measure 0.9336912700694551 [0.941001,0.924713] kappa 0.8657632053675981 kb_relative_information_score 0.6376576117308732 mean_absolute_error 0.20251134846462043 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.933845126835781 [0.957127,0.905251] number_of_instances 14980 [8257,6723] precision 0.9342158080916769 [0.92541,0.945031] predictive_accuracy 0.9338451268357811 prior_entropy 0.9924223735239917 relative_absolute_error 0.409314364746779 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2609386875587609 root_relative_squared_error 0.5246353971412212 total_cost 0 unweighted_recall 0.931188959048733 [0.957127,0.905251] area_under_roc_curve 0.9827301683385218 [0.98273,0.98273] area_under_roc_curve 0.9872647152081171 [0.987265,0.987265] area_under_roc_curve 0.9883699772281795 [0.98837,0.98837] area_under_roc_curve 0.9810655194281103 [0.981066,0.981066] area_under_roc_curve 0.9863531217571774 [0.986353,0.986353] area_under_roc_curve 0.9841110702755678 [0.984111,0.984111] area_under_roc_curve 0.9847821543871788 [0.984782,0.984782] area_under_roc_curve 0.9814876851726777 [0.981488,0.981488] area_under_roc_curve 0.9835661218424961 [0.983566,0.983566] area_under_roc_curve 0.9812724571119815 [0.981272,0.981272] 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 0.931640159787312 [0.939858,0.921538] f_measure 0.9378141433713438 [0.944411,0.929705] f_measure 0.9411196015491103 [0.947619,0.933131] f_measure 0.9250469106318909 [0.933413,0.914764] f_measure 0.9283427624536641 [0.936649,0.918133] f_measure 0.9358671485809779 [0.942238,0.928036] f_measure 0.9397337673763141 [0.946682,0.931193] f_measure 0.9317667716932767 [0.939141,0.922727] f_measure 0.9317792475978632 [0.939068,0.922844] f_measure 0.9337674841309134 [0.940966,0.924943] kappa 0.861518550474547 kappa 0.8741415291216089 kappa 0.8807920190408669 kappa 0.8482384823848238 kappa 0.8548720353914995 kappa 0.87028010001768 kappa 0.8779467680608364 kappa 0.8619102790967538 kappa 0.8619482075384757 kappa 0.8659533274400594 kb_relative_information_score 0.634597672497266 kb_relative_information_score 0.6466961356621677 kb_relative_information_score 0.6462312842130045 kb_relative_information_score 0.6308721029555384 kb_relative_information_score 0.6323632170560799 kb_relative_information_score 0.6394906351697468 kb_relative_information_score 0.6402303728080244 kb_relative_information_score 0.6311772195497474 kb_relative_information_score 0.6394522688063181 kb_relative_information_score 0.6354665800630275 mean_absolute_error 0.20415887850467254 mean_absolute_error 0.1977503337783711 mean_absolute_error 0.19893858477970638 mean_absolute_error 0.2050000000000001 mean_absolute_error 0.20533377837116157 mean_absolute_error 0.20136849132176218 mean_absolute_error 0.20172229639519348 mean_absolute_error 0.2060881174899868 mean_absolute_error 0.201008010680908 mean_absolute_error 0.20374499332443263 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] precision 0.9330174278299269 [0.916092,0.953822] precision 0.9380854024151638 [0.932704,0.9447] precision 0.9416537326556578 [0.932084,0.953416] precision 0.9256157743034327 [0.917056,0.936137] precision 0.9292707183328619 [0.91657,0.944882] precision 0.9359041551829582 [0.936603,0.935045] precision 0.9406560671565063 [0.926914,0.957547] precision 0.9321951259930256 [0.924794,0.941267] precision 0.9321353137047825 [0.925795,0.939908] precision 0.9342402102205548 [0.926056,0.944272] predictive_accuracy 0.931909212283044 predictive_accuracy 0.937917222963952 predictive_accuracy 0.9412550066755674 predictive_accuracy 0.9252336448598131 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9359145527369825 predictive_accuracy 0.9399198931909213 predictive_accuracy 0.931909212283044 predictive_accuracy 0.931909212283044 predictive_accuracy 0.9339118825100133 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 relative_absolute_error 0.41266144244106656 relative_absolute_error 0.39970800475531276 relative_absolute_error 0.40210978799288016 relative_absolute_error 0.41436158113732274 relative_absolute_error 0.4150362393501223 relative_absolute_error 0.4070212997820615 relative_absolute_error 0.4077364374876292 relative_absolute_error 0.41650342451383787 relative_absolute_error 0.40623654494480993 relative_absolute_error 0.4117679780897525 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.2629595602123568 root_mean_squared_error 0.2554598722469694 root_mean_squared_error 0.25433635729782084 root_mean_squared_error 0.2665648309113033 root_mean_squared_error 0.26185369288077714 root_mean_squared_error 0.2601849244798183 root_mean_squared_error 0.25940622348942755 root_mean_squared_error 0.26416682636079186 root_mean_squared_error 0.2610739604347578 root_mean_squared_error 0.26313466730462715 root_relative_squared_error 0.5287204156258499 root_relative_squared_error 0.5136411458897673 root_relative_squared_error 0.5113821472422339 root_relative_squared_error 0.5359693637943491 root_relative_squared_error 0.5264969002126524 root_relative_squared_error 0.5231415861034192 root_relative_squared_error 0.5215758886594656 root_relative_squared_error 0.53107443973582 root_relative_squared_error 0.5248566187418879 root_relative_squared_error 0.5289994127537331 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 0.9281300443906376 [0.964891,0.891369] unweighted_recall 0.9357975181598063 [0.956416,0.915179] unweighted_recall 0.9386854317998385 [0.96368,0.91369] unweighted_recall 0.9223542171105731 [0.950363,0.894345] unweighted_recall 0.9252421307506054 [0.957627,0.892857] unweighted_recall 0.9345364205004035 [0.947942,0.921131] unweighted_recall 0.9367811743341404 [0.967312,0.90625] unweighted_recall 0.9294214057364132 [0.953939,0.904903] unweighted_recall 0.9295582871808726 [0.952727,0.906389] unweighted_recall 0.9313764689990545 [0.956364,0.906389] usercpu_time_millis 2734.375 usercpu_time_millis 2765.625 usercpu_time_millis 2953.125 usercpu_time_millis 2734.375 usercpu_time_millis 2734.375 usercpu_time_millis 2734.375 usercpu_time_millis 2718.75 usercpu_time_millis 2750 usercpu_time_millis 2734.375 usercpu_time_millis 2750 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_training 2687.5 usercpu_time_millis_training 2718.75 usercpu_time_millis_training 2906.25 usercpu_time_millis_training 2687.5 usercpu_time_millis_training 2687.5 usercpu_time_millis_training 2687.5 usercpu_time_millis_training 2656.25 usercpu_time_millis_training 2687.5 usercpu_time_millis_training 2687.5 usercpu_time_millis_training 2703.125 wall_clock_time_millis 2745.4757690429688 wall_clock_time_millis 2790.3876304626465 wall_clock_time_millis 2954.331159591675 wall_clock_time_millis 2739.428997039795 wall_clock_time_millis 2731.456518173218 wall_clock_time_millis 2740.429401397705 wall_clock_time_millis 2721.439838409424 wall_clock_time_millis 2738.426446914673 wall_clock_time_millis 2740.4510974884033 wall_clock_time_millis 2767.413854598999 wall_clock_time_millis_testing 50.971031188964844 wall_clock_time_millis_testing 49.974679946899414 wall_clock_time_millis_testing 50.97031593322754 wall_clock_time_millis_testing 50.971269607543945 wall_clock_time_millis_testing 51.99098587036133 wall_clock_time_millis_testing 50.95243453979492 wall_clock_time_millis_testing 50.97365379333496 wall_clock_time_millis_testing 48.96998405456543 wall_clock_time_millis_testing 50.99320411682129 wall_clock_time_millis_testing 51.971435546875 wall_clock_time_millis_training 2694.504737854004 wall_clock_time_millis_training 2740.412950515747 wall_clock_time_millis_training 2903.3608436584473 wall_clock_time_millis_training 2688.457727432251 wall_clock_time_millis_training 2679.4655323028564 wall_clock_time_millis_training 2689.47696685791 wall_clock_time_millis_training 2670.466184616089 wall_clock_time_millis_training 2689.4564628601074 wall_clock_time_millis_training 2689.457893371582 wall_clock_time_millis_training 2715.442419052124 weighted_recall 0.931909212283044 [0.964891,0.891369] weighted_recall 0.937917222963952 [0.956416,0.915179] weighted_recall 0.9412550066755674 [0.96368,0.91369] weighted_recall 0.9252336448598131 [0.950363,0.894345] weighted_recall 0.9285714285714286 [0.957627,0.892857] weighted_recall 0.9359145527369827 [0.947942,0.921131] weighted_recall 0.9399198931909212 [0.967312,0.90625] weighted_recall 0.931909212283044 [0.953939,0.904903] weighted_recall 0.931909212283044 [0.952727,0.906389] weighted_recall 0.9339118825100133 [0.956364,0.906389]