10586161 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) 8302443 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 0.2676188047289144 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1703 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 4 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 18 19040 random_state 9811 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.17496440294536483 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 22098590 description https://api.openml.org/data/download/22098590/description.xml -1 22098591 predictions https://api.openml.org/data/download/22098591/predictions.arff area_under_roc_curve 0.9357404679159179 [0.93574,0.93574] average_cost 0 f_measure 0.8584996384636472 [0.875222,0.837962] kappa 0.7134043171069135 kb_relative_information_score 0.5354694838678171 mean_absolute_error 0.24799502151853414 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8590120160213618 [0.897057,0.812286] number_of_instances 14980 [8257,6723] precision 0.8593115472055329 [0.854424,0.865315] predictive_accuracy 0.8590120160213618 prior_entropy 0.9924223735239917 relative_absolute_error 0.5012456114821459 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.32452834451688206 root_relative_squared_error 0.6524868293853773 total_cost 0 unweighted_recall 0.8546716121367397 [0.897057,0.812286] area_under_roc_curve 0.9428092211460856 [0.942809,0.942809] area_under_roc_curve 0.9439081776778507 [0.943908,0.943908] area_under_roc_curve 0.9476122016603251 [0.947612,0.947612] area_under_roc_curve 0.9320520581113801 [0.932052,0.932052] area_under_roc_curve 0.9311278536838463 [0.931128,0.931128] area_under_roc_curve 0.9372513836042893 [0.937251,0.937251] area_under_roc_curve 0.9410058514931396 [0.941006,0.941006] area_under_roc_curve 0.9253113602593545 [0.925311,0.925311] area_under_roc_curve 0.9290197667612228 [0.92902,0.92902] area_under_roc_curve 0.929307938223243 [0.929308,0.929308] 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 0.8660190797939096 [0.881797,0.846626] f_measure 0.8679861464770117 [0.883776,0.848578] f_measure 0.8701451113119252 [0.884798,0.852134] f_measure 0.8461385821135442 [0.866628,0.820954] f_measure 0.8630904403780951 [0.880562,0.841615] f_measure 0.8577381678675374 [0.871609,0.840688] f_measure 0.8577214380399812 [0.875878,0.835404] f_measure 0.8441482222001614 [0.860896,0.823618] f_measure 0.8524978264525187 [0.870436,0.830508] f_measure 0.8593252874549285 [0.87574,0.839204] kappa 0.7286192553515267 kappa 0.732578054628725 kappa 0.7370541143088772 kappa 0.6881816215115615 kappa 0.7225724453482462 kappa 0.7123038664966737 kappa 0.7116929334011184 kappa 0.6846030813717074 kappa 0.7012565788638758 kappa 0.715149813921059 kb_relative_information_score 0.5519270724793236 kb_relative_information_score 0.5359060105437011 kb_relative_information_score 0.5505730516736291 kb_relative_information_score 0.5241224855027009 kb_relative_information_score 0.5306703815895548 kb_relative_information_score 0.5388759979680704 kb_relative_information_score 0.5400357925496572 kb_relative_information_score 0.522434960343808 kb_relative_information_score 0.5291053202728503 kb_relative_information_score 0.531048516239036 mean_absolute_error 0.2401703756782959 mean_absolute_error 0.24883784829192304 mean_absolute_error 0.24107166661546972 mean_absolute_error 0.2528637324071431 mean_absolute_error 0.2505256091330765 mean_absolute_error 0.24602856795105738 mean_absolute_error 0.24615533473710144 mean_absolute_error 0.2533080567913941 mean_absolute_error 0.2503960698605401 mean_absolute_error 0.2505929537193425 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 0.866808700957256 [0.861432,0.873418] precision 0.8689412207202619 [0.86191,0.877583] precision 0.8706037731738665 [0.868298,0.873437] precision 0.8484265795078894 [0.835017,0.864909] precision 0.8648375804584082 [0.852608,0.87987] precision 0.85770371109585 [0.867947,0.845113] precision 0.8594239168337966 [0.848073,0.873377] precision 0.8443135994446238 [0.848235,0.839506] precision 0.8536467941218303 [0.846506,0.8624] precision 0.8600861807713838 [0.855491,0.865719] predictive_accuracy 0.8664886515353806 predictive_accuracy 0.8684913217623498 predictive_accuracy 0.8704939919893191 predictive_accuracy 0.8471295060080106 predictive_accuracy 0.863818424566088 predictive_accuracy 0.8578104138851802 predictive_accuracy 0.8584779706275033 predictive_accuracy 0.8444592790387183 predictive_accuracy 0.8531375166889186 predictive_accuracy 0.8598130841121495 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 0.485450617601968 relative_absolute_error 0.5029699720246362 relative_absolute_error 0.48727237534729523 relative_absolute_error 0.5111073949878471 relative_absolute_error 0.5063814025159631 relative_absolute_error 0.49729164107878693 relative_absolute_error 0.49754787174171833 relative_absolute_error 0.5119347704056129 relative_absolute_error 0.5060496541572238 relative_absolute_error 0.5064475558044484 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 0.31618973609357737 root_mean_squared_error 0.3192347780156231 root_mean_squared_error 0.3136945334775726 root_mean_squared_error 0.3299786344674809 root_mean_squared_error 0.3294508716812288 root_mean_squared_error 0.3231368333186378 root_mean_squared_error 0.32043598381978283 root_mean_squared_error 0.33354418189192186 root_mean_squared_error 0.3310140847423538 root_mean_squared_error 0.32795267418835605 root_relative_squared_error 0.6357478258216536 root_relative_squared_error 0.6418703483468738 root_relative_squared_error 0.6307308393194729 root_relative_squared_error 0.6634725150224772 root_relative_squared_error 0.6624113672190898 root_relative_squared_error 0.6497160273552312 root_relative_squared_error 0.6442855563412689 root_relative_squared_error 0.6705489556189249 root_relative_squared_error 0.6654625110236867 root_relative_squared_error 0.6593079271300032 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 0.8622881355932204 [0.903148,0.821429] unweighted_recall 0.8641041162227603 [0.90678,0.821429] unweighted_recall 0.8668911420500404 [0.901937,0.831845] unweighted_recall 0.840988196125908 [0.900726,0.78125] unweighted_recall 0.858479620661824 [0.910412,0.806548] unweighted_recall 0.8558060936238903 [0.875303,0.83631] unweighted_recall 0.8530821226795804 [0.905569,0.800595] unweighted_recall 0.8411301724526092 [0.873939,0.808321] unweighted_recall 0.8483245531090999 [0.895758,0.800892] unweighted_recall 0.855617092169841 [0.89697,0.814264] usercpu_time_millis 3952.7683569995133 usercpu_time_millis 3961.861391999264 usercpu_time_millis 3948.6889780009733 usercpu_time_millis 3949.4065419994513 usercpu_time_millis 3927.914483000677 usercpu_time_millis 3941.1487269990175 usercpu_time_millis 3960.8490199998414 usercpu_time_millis 3959.690050998688 usercpu_time_millis 3937.998425000842 usercpu_time_millis 3944.2524830001275 usercpu_time_millis_testing 10.505393999665102 usercpu_time_millis_testing 11.17310199970234 usercpu_time_millis_testing 10.584817000562907 usercpu_time_millis_testing 11.119669999970938 usercpu_time_millis_testing 10.057136000796163 usercpu_time_millis_testing 10.766968999632809 usercpu_time_millis_testing 10.134171000572678 usercpu_time_millis_testing 10.183646999394114 usercpu_time_millis_testing 10.532605000662443 usercpu_time_millis_testing 10.409696000351687 usercpu_time_millis_training 3942.2629629998482 usercpu_time_millis_training 3950.6882899995617 usercpu_time_millis_training 3938.1041610004104 usercpu_time_millis_training 3938.2868719994804 usercpu_time_millis_training 3917.857346999881 usercpu_time_millis_training 3930.3817579993847 usercpu_time_millis_training 3950.7148489992687 usercpu_time_millis_training 3949.506403999294 usercpu_time_millis_training 3927.4658200001795 usercpu_time_millis_training 3933.842786999776 wall_clock_time_millis 4029.5698642730713 wall_clock_time_millis 4041.64457321167 wall_clock_time_millis 4041.7990684509277 wall_clock_time_millis 4043.2286262512207 wall_clock_time_millis 4008.82887840271 wall_clock_time_millis 4014.648914337158 wall_clock_time_millis 4037.7702713012695 wall_clock_time_millis 4020.301580429077 wall_clock_time_millis 4025.8524417877197 wall_clock_time_millis 4023.0400562286377 wall_clock_time_millis_testing 10.606050491333008 wall_clock_time_millis_testing 11.220932006835938 wall_clock_time_millis_testing 10.59269905090332 wall_clock_time_millis_testing 20.39790153503418 wall_clock_time_millis_testing 10.064840316772461 wall_clock_time_millis_testing 13.027191162109375 wall_clock_time_millis_testing 10.143041610717773 wall_clock_time_millis_testing 10.19740104675293 wall_clock_time_millis_testing 10.553121566772461 wall_clock_time_millis_testing 11.556625366210938 wall_clock_time_millis_training 4018.9638137817383 wall_clock_time_millis_training 4030.423641204834 wall_clock_time_millis_training 4031.2063694000244 wall_clock_time_millis_training 4022.8307247161865 wall_clock_time_millis_training 3998.7640380859375 wall_clock_time_millis_training 4001.621723175049 wall_clock_time_millis_training 4027.6272296905518 wall_clock_time_millis_training 4010.104179382324 wall_clock_time_millis_training 4015.2993202209473 wall_clock_time_millis_training 4011.4834308624268 weighted_recall 0.8664886515353805 [0.903148,0.821429] weighted_recall 0.8684913217623498 [0.90678,0.821429] weighted_recall 0.8704939919893191 [0.901937,0.831845] weighted_recall 0.8471295060080107 [0.900726,0.78125] weighted_recall 0.8638184245660881 [0.910412,0.806548] weighted_recall 0.8578104138851802 [0.875303,0.83631] weighted_recall 0.8584779706275033 [0.905569,0.800595] weighted_recall 0.8444592790387183 [0.873939,0.808321] weighted_recall 0.8531375166889186 [0.895758,0.800892] weighted_recall 0.8598130841121495 [0.89697,0.814264]