10586175 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) 8302457 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 "mean" 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 0.5973381031694602 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1608 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 10 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 6 19040 random_state 36834 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.19567657353756035 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 22098618 description https://api.openml.org/data/download/22098618/description.xml -1 22098619 predictions https://api.openml.org/data/download/22098619/predictions.arff area_under_roc_curve 0.9549590356545925 [0.954959,0.954959] average_cost 0 f_measure 0.8859678069188713 [0.897734,0.871517] kappa 0.7692802776594351 kb_relative_information_score 0.6560200480745441 mean_absolute_error 0.18285941285081758 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8861148197596795 [0.906867,0.860628] number_of_instances 14980 [8257,6723] precision 0.8860464263822609 [0.888783,0.882685] predictive_accuracy 0.8861148197596797 prior_entropy 0.9924223735239917 relative_absolute_error 0.36959402510757305 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2885615096960984 root_relative_squared_error 0.5801730040701284 total_cost 0 unweighted_recall 0.883747298390247 [0.906867,0.860628] area_under_roc_curve 0.9594394961374382 [0.959439,0.959439] area_under_roc_curve 0.9520296466044044 [0.95203,0.95203] area_under_roc_curve 0.9605654761904762 [0.960565,0.960565] area_under_roc_curve 0.95416270321688 [0.954163,0.954163] area_under_roc_curve 0.9598970944309928 [0.959897,0.959897] area_under_roc_curve 0.9566830969676006 [0.956683,0.956683] area_under_roc_curve 0.960983439986164 [0.960983,0.960983] area_under_roc_curve 0.9488765815660318 [0.948877,0.948877] area_under_roc_curve 0.9510036471700661 [0.951004,0.951004] area_under_roc_curve 0.9464388311045072 [0.946439,0.946439] 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 0.9009738753325948 [0.911905,0.887538] f_measure 0.8823253180527341 [0.894737,0.867069] f_measure 0.8884943649010425 [0.899094,0.875466] f_measure 0.8881611339230086 [0.901125,0.872226] f_measure 0.8916065392154078 [0.903571,0.8769] f_measure 0.8811410575458074 [0.892512,0.867164] f_measure 0.8891036110879408 [0.90012,0.875562] f_measure 0.8725223143519588 [0.884032,0.858414] f_measure 0.8844009357251496 [0.895971,0.870218] f_measure 0.8809041106543725 [0.893921,0.864947] kappa 0.7995138502050946 kappa 0.7618493601092621 kappa 0.774560639895033 kappa 0.7734918683213122 kappa 0.7805489441434142 kappa 0.7596779891990108 kappa 0.7756926729472382 kappa 0.7424462555787799 kappa 0.7662065145416129 kappa 0.7589536735870923 kb_relative_information_score 0.6727605273665338 kb_relative_information_score 0.6500831609640266 kb_relative_information_score 0.6668742294266159 kb_relative_information_score 0.6461258478467414 kb_relative_information_score 0.6635278908559519 kb_relative_information_score 0.6564596654105026 kb_relative_information_score 0.6672455162123859 kb_relative_information_score 0.6387454697280021 kb_relative_information_score 0.6475534726401447 kb_relative_information_score 0.6508308689001151 mean_absolute_error 0.1752889197429681 mean_absolute_error 0.18542355233005545 mean_absolute_error 0.17726668642437696 mean_absolute_error 0.18874279723890017 mean_absolute_error 0.17920484512695348 mean_absolute_error 0.1819047715208255 mean_absolute_error 0.17756025111235194 mean_absolute_error 0.19065269300196633 mean_absolute_error 0.18727619814036367 mean_absolute_error 0.18527341386941254 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 0.9013862151198033 [0.896956,0.906832] precision 0.8824593770581887 [0.884161,0.880368] precision 0.8884778948684958 [0.897467,0.877429] precision 0.8889090223356478 [0.881808,0.897638] precision 0.891990461028104 [0.888759,0.895963] precision 0.8811198906095027 [0.890361,0.86976] precision 0.8891017248630231 [0.894737,0.882175] precision 0.8725550118019696 [0.885645,0.856509] precision 0.8844238739572534 [0.889021,0.878788] precision 0.8812584741340738 [0.87925,0.883721] predictive_accuracy 0.9012016021361816 predictive_accuracy 0.8825100133511349 predictive_accuracy 0.8885180240320427 predictive_accuracy 0.8885180240320427 predictive_accuracy 0.8918558077436581 predictive_accuracy 0.8811748998664887 predictive_accuracy 0.8891855807743658 predictive_accuracy 0.8724966622162884 predictive_accuracy 0.8845126835781042 predictive_accuracy 0.8811748998664887 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 0.35430728751487556 relative_absolute_error 0.37479217718819924 relative_absolute_error 0.3583048998525794 relative_absolute_error 0.38150128727898414 relative_absolute_error 0.3622224535330412 relative_absolute_error 0.3676797499697202 relative_absolute_error 0.3588982751124594 relative_absolute_error 0.38530848112561633 relative_absolute_error 0.37848459583888105 relative_absolute_error 0.3744369752503039 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 0.27886372691662537 root_mean_squared_error 0.29306061147249596 root_mean_squared_error 0.28147731367713635 root_mean_squared_error 0.2897238262757686 root_mean_squared_error 0.28310012507757026 root_mean_squared_error 0.2881577302801166 root_mean_squared_error 0.28025589455038125 root_mean_squared_error 0.3000024407236081 root_mean_squared_error 0.2940234107276666 root_mean_squared_error 0.2961138627323481 root_relative_squared_error 0.5606981753364039 root_relative_squared_error 0.5892431831577981 root_relative_squared_error 0.5659531912680386 root_relative_squared_error 0.5825340661565256 root_relative_squared_error 0.5692161017985661 root_relative_squared_error 0.5793851906219665 root_relative_squared_error 0.5634973412969259 root_relative_squared_error 0.6031174705830356 root_relative_squared_error 0.5910973768831492 root_relative_squared_error 0.5952999697767194 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 0.8982041969330106 [0.927361,0.869048] unweighted_recall 0.8798678369652946 [0.905569,0.854167] unweighted_recall 0.8871191485068604 [0.900726,0.873512] unweighted_recall 0.8847608958837772 [0.921308,0.848214] unweighted_recall 0.8887585754640839 [0.918886,0.858631] unweighted_recall 0.8796282284100081 [0.894673,0.864583] unweighted_recall 0.8873083131557709 [0.905569,0.869048] unweighted_recall 0.8713755684632356 [0.882424,0.860327] unweighted_recall 0.882421540816786 [0.90303,0.861813] unweighted_recall 0.8780224233418884 [0.909091,0.846954] usercpu_time_millis 3859.586314999433 usercpu_time_millis 3883.752660999562 usercpu_time_millis 3862.662253000053 usercpu_time_millis 3860.9493149997434 usercpu_time_millis 3861.2881410008413 usercpu_time_millis 3884.417135000149 usercpu_time_millis 3866.1641210001108 usercpu_time_millis 3880.1473809990057 usercpu_time_millis 3851.1639429998468 usercpu_time_millis 3798.7469219997365 usercpu_time_millis_testing 10.098316999574308 usercpu_time_millis_testing 10.168920000069193 usercpu_time_millis_testing 10.089954000250145 usercpu_time_millis_testing 10.074490000079095 usercpu_time_millis_testing 10.487833000297542 usercpu_time_millis_testing 10.616122000101313 usercpu_time_millis_testing 10.548770999776025 usercpu_time_millis_testing 10.235015999569441 usercpu_time_millis_testing 10.206215999460255 usercpu_time_millis_testing 6.932645999768283 usercpu_time_millis_training 3849.4879979998586 usercpu_time_millis_training 3873.583740999493 usercpu_time_millis_training 3852.572298999803 usercpu_time_millis_training 3850.8748249996643 usercpu_time_millis_training 3850.8003080005437 usercpu_time_millis_training 3873.8010130000475 usercpu_time_millis_training 3855.6153500003347 usercpu_time_millis_training 3869.9123649994362 usercpu_time_millis_training 3840.9577270003865 usercpu_time_millis_training 3791.8142759999682 wall_clock_time_millis 3921.7066764831543 wall_clock_time_millis 3985.8384132385254 wall_clock_time_millis 3922.9953289031982 wall_clock_time_millis 3943.657875061035 wall_clock_time_millis 3929.2683601379395 wall_clock_time_millis 3969.133138656616 wall_clock_time_millis 3920.0961589813232 wall_clock_time_millis 3973.644018173218 wall_clock_time_millis 3936.7427825927734 wall_clock_time_millis 3890.977621078491 wall_clock_time_millis_testing 10.112524032592773 wall_clock_time_millis_testing 10.173797607421875 wall_clock_time_millis_testing 10.108709335327148 wall_clock_time_millis_testing 10.179519653320312 wall_clock_time_millis_testing 10.492563247680664 wall_clock_time_millis_testing 10.623931884765625 wall_clock_time_millis_testing 10.556459426879883 wall_clock_time_millis_testing 10.241031646728516 wall_clock_time_millis_testing 10.21265983581543 wall_clock_time_millis_testing 6.936788558959961 wall_clock_time_millis_training 3911.5941524505615 wall_clock_time_millis_training 3975.6646156311035 wall_clock_time_millis_training 3912.886619567871 wall_clock_time_millis_training 3933.478355407715 wall_clock_time_millis_training 3918.775796890259 wall_clock_time_millis_training 3958.5092067718506 wall_clock_time_millis_training 3909.5396995544434 wall_clock_time_millis_training 3963.4029865264893 wall_clock_time_millis_training 3926.530122756958 wall_clock_time_millis_training 3884.0408325195312 weighted_recall 0.9012016021361816 [0.927361,0.869048] weighted_recall 0.8825100133511349 [0.905569,0.854167] weighted_recall 0.8885180240320427 [0.900726,0.873512] weighted_recall 0.8885180240320427 [0.921308,0.848214] weighted_recall 0.8918558077436582 [0.918886,0.858631] weighted_recall 0.8811748998664887 [0.894673,0.864583] weighted_recall 0.8891855807743658 [0.905569,0.869048] weighted_recall 0.8724966622162884 [0.882424,0.860327] weighted_recall 0.8845126835781041 [0.90303,0.861813] weighted_recall 0.8811748998664887 [0.909091,0.846954]