10586233 28997 Marc Boel 9983 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302515 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "median" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.15994303674001836 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 917 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 55 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 15 19040 random_state 21918 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.050559252111274704 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22098734 description https://api.openml.org/data/download/22098734/description.xml -1 22098735 predictions https://api.openml.org/data/download/22098735/predictions.arff area_under_roc_curve 0.916364447198453 [0.916364,0.916364] average_cost 0 f_measure 0.8343935882909782 [0.855689,0.808239] kappa 0.6644432452410358 kb_relative_information_score 0.4559411225164473 mean_absolute_error 0.28903797145211996 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8353137516688919 [0.885794,0.773315] number_of_instances 14980 [8257,6723] precision 0.8360469500822966 [0.827563,0.846467] predictive_accuracy 0.8353137516688919 prior_entropy 0.9924223735239917 relative_absolute_error 0.5842013031348262 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3507336216932336 root_relative_squared_error 0.7051743634848006 total_cost 0 unweighted_recall 0.8295546780125764 [0.885794,0.773315] area_under_roc_curve 0.9274886861524271 [0.927489,0.927489] area_under_roc_curve 0.9161334025135478 [0.916133,0.916133] area_under_roc_curve 0.9220659662169953 [0.922066,0.922066] area_under_roc_curve 0.9132040528075637 [0.913204,0.913204] area_under_roc_curve 0.9157784936008303 [0.915778,0.915778] area_under_roc_curve 0.9232856278104461 [0.923286,0.923286] area_under_roc_curve 0.9270815317652484 [0.927082,0.927082] area_under_roc_curve 0.902603449052186 [0.902603,0.902603] area_under_roc_curve 0.9087631140528614 [0.908763,0.908763] area_under_roc_curve 0.9101067134945292 [0.910107,0.910107] 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 0.846790512093264 [0.867288,0.821596] f_measure 0.8287572203361989 [0.851138,0.801247] f_measure 0.8384652735847217 [0.857985,0.814473] f_measure 0.8278373996246627 [0.851508,0.798742] f_measure 0.8323328032422019 [0.856319,0.80285] f_measure 0.8387933480204187 [0.856291,0.817286] f_measure 0.847753276770461 [0.869816,0.820635] f_measure 0.8151518429633935 [0.836493,0.788991] f_measure 0.834097282448218 [0.855809,0.807482] f_measure 0.8337620261945776 [0.853774,0.809231] kappa 0.6894998090874378 kappa 0.652972972972973 kappa 0.6727579599243664 kappa 0.6510751044532761 kappa 0.6601874880428544 kappa 0.6736690246896394 kappa 0.6914459245648955 kappa 0.6257284954656306 kappa 0.6638979574410878 kappa 0.6633274669266978 kb_relative_information_score 0.472362702687869 kb_relative_information_score 0.4546434537467646 kb_relative_information_score 0.462152669957038 kb_relative_information_score 0.44968353383881676 kb_relative_information_score 0.4487381354459986 kb_relative_information_score 0.46230904357993785 kb_relative_information_score 0.46380105958014534 kb_relative_information_score 0.44109304567369884 kb_relative_information_score 0.4524190851204104 kb_relative_information_score 0.4522129027254384 mean_absolute_error 0.2819894726588086 mean_absolute_error 0.2892298246344639 mean_absolute_error 0.2861639740393322 mean_absolute_error 0.29180774483442035 mean_absolute_error 0.2927380462423572 mean_absolute_error 0.2860310250799351 mean_absolute_error 0.28584670053113403 mean_absolute_error 0.29487104922816876 mean_absolute_error 0.2904695787277101 mean_absolute_error 0.2912322985448687 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 0.8491688247237197 [0.835202,0.866337] precision 0.830561892872868 [0.821871,0.841244] precision 0.839355518610498 [0.835821,0.8437] precision 0.8305134983244178 [0.817372,0.846667] precision 0.8359297069725571 [0.818082,0.857868] precision 0.8389412959890147 [0.843713,0.833076] precision 0.85191244002993 [0.82967,0.879252] precision 0.8156153765127592 [0.818076,0.812598] precision 0.8361114701450996 [0.82545,0.84918] precision 0.834681977225531 [0.831228,0.838915] predictive_accuracy 0.8477970627503337 predictive_accuracy 0.8297730307076101 predictive_accuracy 0.8391188251001336 predictive_accuracy 0.829105473965287 predictive_accuracy 0.8337783711615487 predictive_accuracy 0.8391188251001336 predictive_accuracy 0.8491321762349799 predictive_accuracy 0.8157543391188251 predictive_accuracy 0.8351134846461948 predictive_accuracy 0.8344459279038717 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 0.5699785549023596 relative_absolute_error 0.5846133046224731 relative_absolute_error 0.5784163743779386 relative_absolute_error 0.5898239928668624 relative_absolute_error 0.5917043887806526 relative_absolute_error 0.5781476478363468 relative_absolute_error 0.5777750770486216 relative_absolute_error 0.5959334448260364 relative_absolute_error 0.587038087060314 relative_absolute_error 0.5885795413647164 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 0.3416640863260991 root_mean_squared_error 0.3510414073985597 root_mean_squared_error 0.34674122887060393 root_mean_squared_error 0.35384434250109464 root_mean_squared_error 0.35371400652148405 root_mean_squared_error 0.3460043146826888 root_mean_squared_error 0.34486214849141683 root_mean_squared_error 0.36002470174276097 root_mean_squared_error 0.35557826674378146 root_mean_squared_error 0.35344708578834494 root_relative_squared_error 0.6869679032809423 root_relative_squared_error 0.7058224415638802 root_relative_squared_error 0.697176274918598 root_relative_squared_error 0.7114581712980939 root_relative_squared_error 0.7111961108761222 root_relative_squared_error 0.6956945962323375 root_relative_squared_error 0.6933980964097965 root_relative_squared_error 0.7237847363467087 root_relative_squared_error 0.7148457336398372 root_relative_squared_error 0.7105612602732293 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 0.8415935230024213 [0.901937,0.78125] unweighted_recall 0.8237237691686844 [0.882567,0.764881] unweighted_recall 0.8342791565778853 [0.881356,0.787202] unweighted_recall 0.8222861178369653 [0.88862,0.755952] unweighted_recall 0.8263846852300243 [0.898305,0.754464] unweighted_recall 0.8356663640032285 [0.869249,0.802083] unweighted_recall 0.8416944108151736 [0.914044,0.769345] unweighted_recall 0.8112368859471386 [0.855758,0.766716] unweighted_recall 0.8290864064118151 [0.888485,0.769688] unweighted_recall 0.82957539736143 [0.877576,0.781575] usercpu_time_millis 4474.967271999958 usercpu_time_millis 4506.883021000249 usercpu_time_millis 4507.318740999835 usercpu_time_millis 4510.5750689999695 usercpu_time_millis 4482.667513000706 usercpu_time_millis 4517.002110999783 usercpu_time_millis 4529.009745999247 usercpu_time_millis 4501.186633000543 usercpu_time_millis 4502.46111099932 usercpu_time_millis 4480.972653000208 usercpu_time_millis_testing 10.146349000024202 usercpu_time_millis_testing 11.221148000004177 usercpu_time_millis_testing 9.901219999846944 usercpu_time_millis_testing 10.883029999604332 usercpu_time_millis_testing 10.339697000745218 usercpu_time_millis_testing 10.376004000136163 usercpu_time_millis_testing 9.817971999837027 usercpu_time_millis_testing 9.914115000356105 usercpu_time_millis_testing 10.505994999221002 usercpu_time_millis_testing 10.446442000102252 usercpu_time_millis_training 4464.820922999934 usercpu_time_millis_training 4495.661873000245 usercpu_time_millis_training 4497.4175209999885 usercpu_time_millis_training 4499.692039000365 usercpu_time_millis_training 4472.327815999961 usercpu_time_millis_training 4506.626106999647 usercpu_time_millis_training 4519.19177399941 usercpu_time_millis_training 4491.272518000187 usercpu_time_millis_training 4491.955116000099 usercpu_time_millis_training 4470.526211000106 wall_clock_time_millis 4565.48810005188 wall_clock_time_millis 4594.005107879639 wall_clock_time_millis 4605.045795440674 wall_clock_time_millis 4608.019590377808 wall_clock_time_millis 4545.373201370239 wall_clock_time_millis 4603.404998779297 wall_clock_time_millis 4601.782560348511 wall_clock_time_millis 4595.188617706299 wall_clock_time_millis 4556.6956996917725 wall_clock_time_millis 4576.492547988892 wall_clock_time_millis_testing 11.083364486694336 wall_clock_time_millis_testing 20.077943801879883 wall_clock_time_millis_testing 9.905099868774414 wall_clock_time_millis_testing 22.856473922729492 wall_clock_time_millis_testing 10.406494140625 wall_clock_time_millis_testing 10.62774658203125 wall_clock_time_millis_testing 9.821891784667969 wall_clock_time_millis_testing 9.91964340209961 wall_clock_time_millis_testing 10.510444641113281 wall_clock_time_millis_testing 10.45083999633789 wall_clock_time_millis_training 4554.404735565186 wall_clock_time_millis_training 4573.927164077759 wall_clock_time_millis_training 4595.140695571899 wall_clock_time_millis_training 4585.163116455078 wall_clock_time_millis_training 4534.966707229614 wall_clock_time_millis_training 4592.777252197266 wall_clock_time_millis_training 4591.960668563843 wall_clock_time_millis_training 4585.268974304199 wall_clock_time_millis_training 4546.185255050659 wall_clock_time_millis_training 4566.041707992554 weighted_recall 0.8477970627503337 [0.901937,0.78125] weighted_recall 0.8297730307076101 [0.882567,0.764881] weighted_recall 0.8391188251001335 [0.881356,0.787202] weighted_recall 0.829105473965287 [0.88862,0.755952] weighted_recall 0.8337783711615487 [0.898305,0.754464] weighted_recall 0.8391188251001335 [0.869249,0.802083] weighted_recall 0.8491321762349799 [0.914044,0.769345] weighted_recall 0.8157543391188251 [0.855758,0.766716] weighted_recall 0.835113484646195 [0.888485,0.769688] weighted_recall 0.8344459279038718 [0.877576,0.781575]