10586192 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) 8302474 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 0.5416736064988655 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 393 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 96 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 4 19040 random_state 40920 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3878603382051125 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 22098652 description https://api.openml.org/data/download/22098652/description.xml -1 22098653 predictions https://api.openml.org/data/download/22098653/predictions.arff area_under_roc_curve 0.9450920633808902 [0.945092,0.945092] average_cost 0 f_measure 0.8708735001856843 [0.884585,0.854033] kappa 0.7386739039354546 kb_relative_information_score 0.6184202517075703 mean_absolute_error 0.20225650051280092 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8710947930574099 [0.896209,0.84025] number_of_instances 14980 [8257,6723] precision 0.8710225957438565 [0.873259,0.868275] predictive_accuracy 0.8710947930574099 prior_entropy 0.9924223735239917 relative_absolute_error 0.40879926804579464 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.30473309555344047 root_relative_squared_error 0.6126871032558211 total_cost 0 unweighted_recall 0.8682295827098849 [0.896209,0.84025] area_under_roc_curve 0.9480571889772859 [0.948057,0.948057] area_under_roc_curve 0.9488174507090972 [0.948817,0.948817] area_under_roc_curve 0.9552499495560937 [0.95525,0.95525] area_under_roc_curve 0.9411742981090742 [0.941174,0.941174] area_under_roc_curve 0.9429209183673469 [0.942921,0.942921] area_under_roc_curve 0.9442288567969561 [0.944229,0.944229] area_under_roc_curve 0.9492155972558516 [0.949216,0.949216] area_under_roc_curve 0.9388536179026521 [0.938854,0.938854] area_under_roc_curve 0.9408221892025754 [0.940822,0.940822] area_under_roc_curve 0.9428574001530912 [0.942857,0.942857] 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 0.8753977442083359 [0.890071,0.857362] f_measure 0.8731815804235297 [0.884848,0.858841] f_measure 0.8778285866836503 [0.889292,0.863738] f_measure 0.8654191565188669 [0.880854,0.846448] f_measure 0.8746031894526183 [0.890065,0.855598] f_measure 0.8544096541443864 [0.868516,0.83707] f_measure 0.8753161514522753 [0.890459,0.856703] f_measure 0.8678416145807271 [0.879854,0.853116] f_measure 0.8681791493543108 [0.882668,0.850418] f_measure 0.8763624059059294 [0.888889,0.861007] kappa 0.7476159074769199 kappa 0.7436899568824227 kappa 0.7530302074793466 kappa 0.7274524464269873 kappa 0.7459400434247113 kappa 0.7055913164205478 kappa 0.7474044929559588 kappa 0.7329705767433653 kappa 0.7331873473159247 kappa 0.749921040995515 kb_relative_information_score 0.6260398941510728 kb_relative_information_score 0.6205647792107097 kb_relative_information_score 0.6331942676114237 kb_relative_information_score 0.6057981146575863 kb_relative_information_score 0.6169625839434024 kb_relative_information_score 0.6080775362437238 kb_relative_information_score 0.6255336646111231 kb_relative_information_score 0.6132648579906504 kb_relative_information_score 0.610963389718987 kb_relative_information_score 0.6238048703850841 mean_absolute_error 0.19892838429178758 mean_absolute_error 0.2013046142708779 mean_absolute_error 0.195695502587137 mean_absolute_error 0.20834347965539432 mean_absolute_error 0.20292615576248263 mean_absolute_error 0.20652097791836024 mean_absolute_error 0.19888580800403932 mean_absolute_error 0.20468354044927176 mean_absolute_error 0.2055486214020727 mean_absolute_error 0.1997279207865848 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 0.8762344101292051 [0.869515,0.884494] precision 0.8732020768551649 [0.885922,0.857567] precision 0.8778208457848181 [0.888755,0.864382] precision 0.8659788440634446 [0.86295,0.869702] precision 0.8759552962001769 [0.865143,0.889246] precision 0.8543743240004923 [0.865385,0.840841] precision 0.8764856449178868 [0.866972,0.888179] precision 0.8678625789037889 [0.880923,0.851852] precision 0.8685277889441292 [0.867681,0.869565] precision 0.8764005502777766 [0.880952,0.870821] predictive_accuracy 0.8758344459279038 predictive_accuracy 0.8731642189586115 predictive_accuracy 0.8778371161548733 predictive_accuracy 0.8658210947930575 predictive_accuracy 0.8751668891855807 predictive_accuracy 0.8544726301735648 predictive_accuracy 0.8758344459279038 predictive_accuracy 0.8678237650200268 predictive_accuracy 0.8684913217623498 predictive_accuracy 0.8765020026702269 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 0.402089169991405 relative_absolute_error 0.40689218663180393 relative_absolute_error 0.3955546237730199 relative_absolute_error 0.4211196763398087 relative_absolute_error 0.4101697695407849 relative_absolute_error 0.41743589730867225 relative_absolute_error 0.4020031115625741 relative_absolute_error 0.41366477881909147 relative_absolute_error 0.41541310465035053 relative_absolute_error 0.4036494873736858 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 0.2990605688930475 root_mean_squared_error 0.3010895709395101 root_mean_squared_error 0.29284297022437383 root_mean_squared_error 0.3102807776978767 root_mean_squared_error 0.3072600296393991 root_mean_squared_error 0.3089008235264327 root_mean_squared_error 0.29957163039028095 root_mean_squared_error 0.3116994428878384 root_mean_squared_error 0.3112561476954256 root_mean_squared_error 0.30477981715204305 root_relative_squared_error 0.6013070152488222 root_relative_squared_error 0.6053866342002879 root_relative_squared_error 0.588805582140092 root_relative_squared_error 0.6238669611884464 root_relative_squared_error 0.6177932851916905 root_relative_squared_error 0.6210923522619587 root_relative_squared_error 0.6023345825561657 root_relative_squared_error 0.6266328337970113 root_relative_squared_error 0.6257416441302713 root_relative_squared_error 0.6127217897365429 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 0.8717337570621468 [0.911622,0.831845] unweighted_recall 0.8719481436642453 [0.883777,0.860119] unweighted_recall 0.8764628732849071 [0.889831,0.863095] unweighted_recall 0.8619602502017756 [0.899516,0.824405] unweighted_recall 0.870434826472962 [0.916465,0.824405] unweighted_recall 0.852502017756255 [0.871671,0.833333] unweighted_recall 0.871317594834544 [0.915254,0.827381] unweighted_recall 0.8665856184429735 [0.878788,0.854383] unweighted_recall 0.8651384573821423 [0.898182,0.832095] unweighted_recall 0.8741906434328426 [0.89697,0.851412] usercpu_time_millis 2967.63538399955 usercpu_time_millis 2982.031422999171 usercpu_time_millis 2967.367295999793 usercpu_time_millis 2984.8235899999054 usercpu_time_millis 2962.385828999686 usercpu_time_millis 2993.822225000258 usercpu_time_millis 2977.3607580000316 usercpu_time_millis 2994.608209999569 usercpu_time_millis 2982.5914370003375 usercpu_time_millis 2976.9940930000303 usercpu_time_millis_testing 10.398430000350345 usercpu_time_millis_testing 10.652043999471061 usercpu_time_millis_testing 10.405897999589797 usercpu_time_millis_testing 10.871387999941362 usercpu_time_millis_testing 10.052734000055352 usercpu_time_millis_testing 11.0142920002545 usercpu_time_millis_testing 10.102870000082476 usercpu_time_millis_testing 10.53458799924556 usercpu_time_millis_testing 10.43167399984668 usercpu_time_millis_testing 6.764936999388738 usercpu_time_millis_training 2957.2369539991996 usercpu_time_millis_training 2971.3793789997 usercpu_time_millis_training 2956.961398000203 usercpu_time_millis_training 2973.952201999964 usercpu_time_millis_training 2952.3330949996307 usercpu_time_millis_training 2982.8079330000037 usercpu_time_millis_training 2967.257887999949 usercpu_time_millis_training 2984.0736220003237 usercpu_time_millis_training 2972.159763000491 usercpu_time_millis_training 2970.2291560006415 wall_clock_time_millis 3028.29647064209 wall_clock_time_millis 3026.4952182769775 wall_clock_time_millis 3018.8984870910645 wall_clock_time_millis 3039.3083095550537 wall_clock_time_millis 3009.1261863708496 wall_clock_time_millis 3055.8927059173584 wall_clock_time_millis 3043.962240219116 wall_clock_time_millis 3068.871021270752 wall_clock_time_millis 3034.637451171875 wall_clock_time_millis 3016.9003009796143 wall_clock_time_millis_testing 10.405302047729492 wall_clock_time_millis_testing 10.72239875793457 wall_clock_time_millis_testing 10.41412353515625 wall_clock_time_millis_testing 11.487722396850586 wall_clock_time_millis_testing 10.058164596557617 wall_clock_time_millis_testing 11.099815368652344 wall_clock_time_millis_testing 10.10894775390625 wall_clock_time_millis_testing 10.601520538330078 wall_clock_time_millis_testing 10.439157485961914 wall_clock_time_millis_testing 6.768703460693359 wall_clock_time_millis_training 3017.8911685943604 wall_clock_time_millis_training 3015.772819519043 wall_clock_time_millis_training 3008.484363555908 wall_clock_time_millis_training 3027.820587158203 wall_clock_time_millis_training 2999.068021774292 wall_clock_time_millis_training 3044.792890548706 wall_clock_time_millis_training 3033.85329246521 wall_clock_time_millis_training 3058.269500732422 wall_clock_time_millis_training 3024.198293685913 wall_clock_time_millis_training 3010.131597518921 weighted_recall 0.8758344459279038 [0.911622,0.831845] weighted_recall 0.8731642189586115 [0.883777,0.860119] weighted_recall 0.8778371161548731 [0.889831,0.863095] weighted_recall 0.8658210947930574 [0.899516,0.824405] weighted_recall 0.8751668891855807 [0.916465,0.824405] weighted_recall 0.8544726301735648 [0.871671,0.833333] weighted_recall 0.8758344459279038 [0.915254,0.827381] weighted_recall 0.8678237650200267 [0.878788,0.854383] weighted_recall 0.8684913217623498 [0.898182,0.832095] weighted_recall 0.8765020026702269 [0.89697,0.851412]