10586269 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) 8302551 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 0.5357130389685976 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1700 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 176 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 16 19040 random_state 2880 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.12100146077335382 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 22098806 description https://api.openml.org/data/download/22098806/description.xml -1 22098807 predictions https://api.openml.org/data/download/22098807/predictions.arff area_under_roc_curve 0.946933518346213 [0.946934,0.946934] average_cost 0 f_measure 0.8773452464858518 [0.890912,0.860683] kappa 0.7516886733600351 kb_relative_information_score 0.6144544138197283 mean_absolute_error 0.20542620139518072 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8776368491321762 [0.906504,0.842184] number_of_instances 14980 [8257,6723] precision 0.8777171842609863 [0.875848,0.880012] predictive_accuracy 0.8776368491321762 prior_entropy 0.9924223735239917 relative_absolute_error 0.41520584285231843 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.30242286873478286 root_relative_squared_error 0.6080422314055333 total_cost 0 unweighted_recall 0.8743435608685151 [0.906504,0.842184] area_under_roc_curve 0.9465150466966448 [0.946515,0.946515] area_under_roc_curve 0.947859016487951 [0.947859,0.947859] area_under_roc_curve 0.9559372477804681 [0.955937,0.955937] area_under_roc_curve 0.9465735976594027 [0.946574,0.946574] area_under_roc_curve 0.9457493802605789 [0.945749,0.945749] area_under_roc_curve 0.9470077755678544 [0.947008,0.947008] area_under_roc_curve 0.9550932131327107 [0.955093,0.955093] area_under_roc_curve 0.9416470800126076 [0.941647,0.941647] area_under_roc_curve 0.9444099239047234 [0.94441,0.94441] area_under_roc_curve 0.9395146111936603 [0.939515,0.939515] 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 0.8781530578315722 [0.892052,0.861069] f_measure 0.8680703196576807 [0.883363,0.849273] f_measure 0.8870154230986738 [0.898863,0.872453] f_measure 0.8647632839669098 [0.88019,0.845802] f_measure 0.8712940918217035 [0.886926,0.85208] f_measure 0.8803505023454736 [0.89275,0.865109] f_measure 0.8895886971490827 [0.901844,0.874525] f_measure 0.8716074711158844 [0.885167,0.854985] f_measure 0.8849400463847412 [0.897375,0.869697] f_measure 0.8775928097108565 [0.890746,0.861469] kappa 0.7532500443475837 kappa 0.7328017847862185 kappa 0.7713530668757191 kappa 0.72613466460556 kappa 0.7392562507932479 kappa 0.7578910111365331 kappa 0.7764539043012523 kappa 0.740209157930677 kappa 0.7671428235749183 kappa 0.75228482356662 kb_relative_information_score 0.615252972035234 kb_relative_information_score 0.6146508634825204 kb_relative_information_score 0.6298482616056701 kb_relative_information_score 0.602528514658799 kb_relative_information_score 0.6096076516455048 kb_relative_information_score 0.614086074368466 kb_relative_information_score 0.6259616691292371 kb_relative_information_score 0.6043927938564458 kb_relative_information_score 0.6174671696200827 kb_relative_information_score 0.6107503123188287 mean_absolute_error 0.20496160627515794 mean_absolute_error 0.20458483889933127 mean_absolute_error 0.19804779029060907 mean_absolute_error 0.2107137054531563 mean_absolute_error 0.2078760899334614 mean_absolute_error 0.2052443441317252 mean_absolute_error 0.20088671488461934 mean_absolute_error 0.21018208386768708 mean_absolute_error 0.20415641864419615 mean_absolute_error 0.20760842157185772 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 0.8787224257504331 [0.874419,0.884013] precision 0.868728174337041 [0.864426,0.874016] precision 0.8871370985533019 [0.888757,0.885145] precision 0.8652794574438295 [0.862791,0.868339] precision 0.87243878884071 [0.863532,0.883387] precision 0.8804232210489027 [0.883749,0.876336] precision 0.890002125802095 [0.88655,0.894246] precision 0.8717668337376335 [0.873672,0.869432] precision 0.8852410797317022 [0.883666,0.887172] precision 0.8778444486136442 [0.877647,0.878086] predictive_accuracy 0.8785046728971964 predictive_accuracy 0.8684913217623498 predictive_accuracy 0.8871829105473965 predictive_accuracy 0.8651535380507344 predictive_accuracy 0.8718291054739653 predictive_accuracy 0.8805073431241656 predictive_accuracy 0.8898531375166889 predictive_accuracy 0.8718291054739653 predictive_accuracy 0.8851802403204272 predictive_accuracy 0.8778371161548733 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 0.4142839768225357 relative_absolute_error 0.41352242596610395 relative_absolute_error 0.4003092464661934 relative_absolute_error 0.4259105568725557 relative_absolute_error 0.42017495270962596 relative_absolute_error 0.41485546806787515 relative_absolute_error 0.40604749662962625 relative_absolute_error 0.4247773174336445 relative_absolute_error 0.41259946734153596 relative_absolute_error 0.4195759541876186 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 0.303016062651574 root_mean_squared_error 0.30306112111518607 root_mean_squared_error 0.2921228941828263 root_mean_squared_error 0.30644936674982615 root_mean_squared_error 0.3046421086458773 root_mean_squared_error 0.3032680306551093 root_mean_squared_error 0.29198378419619364 root_mean_squared_error 0.3082208279800957 root_mean_squared_error 0.3037123685407944 root_mean_squared_error 0.307262125354915 root_relative_squared_error 0.6092601404454292 root_relative_squared_error 0.6093507373782397 root_relative_squared_error 0.587357759122508 root_relative_squared_error 0.6161633234608399 root_relative_squared_error 0.6125295546216641 root_relative_squared_error 0.6097667606551909 root_relative_squared_error 0.587078057217429 root_relative_squared_error 0.6196395126119243 root_relative_squared_error 0.6105758175076477 root_relative_squared_error 0.6177121606179017 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 0.8748486682808716 [0.910412,0.839286] unweighted_recall 0.8645202784503632 [0.903148,0.825893] unweighted_recall 0.8846600080710251 [0.909201,0.860119] unweighted_recall 0.8613549233252623 [0.898305,0.824405] unweighted_recall 0.8672694713478611 [0.911622,0.822917] unweighted_recall 0.8780518563357547 [0.901937,0.854167] unweighted_recall 0.8866651533494754 [0.917676,0.855655] unweighted_recall 0.8689900490792022 [0.89697,0.84101] unweighted_recall 0.8822063127560898 [0.911515,0.852897] unweighted_recall 0.874855238867126 [0.904242,0.845468] usercpu_time_millis 4147.639565000645 usercpu_time_millis 4124.429526000313 usercpu_time_millis 4125.815770999907 usercpu_time_millis 4097.352448000493 usercpu_time_millis 4103.863794000972 usercpu_time_millis 4124.674722999771 usercpu_time_millis 4126.852135998888 usercpu_time_millis 4116.311658000086 usercpu_time_millis 4131.3357449998875 usercpu_time_millis 4120.325992000289 usercpu_time_millis_testing 10.807100000420178 usercpu_time_millis_testing 10.31115800014959 usercpu_time_millis_testing 10.327119000066887 usercpu_time_millis_testing 10.42479900024773 usercpu_time_millis_testing 10.218945000815438 usercpu_time_millis_testing 10.357383999689773 usercpu_time_millis_testing 9.903931999360793 usercpu_time_millis_testing 10.920310999608773 usercpu_time_millis_testing 10.085302000334195 usercpu_time_millis_testing 9.98279499981436 usercpu_time_millis_training 4136.832465000225 usercpu_time_millis_training 4114.118368000163 usercpu_time_millis_training 4115.48865199984 usercpu_time_millis_training 4086.927649000245 usercpu_time_millis_training 4093.6448490001567 usercpu_time_millis_training 4114.317339000081 usercpu_time_millis_training 4116.948203999527 usercpu_time_millis_training 4105.391347000477 usercpu_time_millis_training 4121.250442999553 usercpu_time_millis_training 4110.343197000475 wall_clock_time_millis 4213.065385818481 wall_clock_time_millis 4200.318098068237 wall_clock_time_millis 4188.543319702148 wall_clock_time_millis 4168.271541595459 wall_clock_time_millis 4181.95366859436 wall_clock_time_millis 4221.919536590576 wall_clock_time_millis 4227.032423019409 wall_clock_time_millis 4199.296951293945 wall_clock_time_millis 4197.271347045898 wall_clock_time_millis 4195.150375366211 wall_clock_time_millis_testing 10.811805725097656 wall_clock_time_millis_testing 10.316133499145508 wall_clock_time_millis_testing 12.50147819519043 wall_clock_time_millis_testing 11.155366897583008 wall_clock_time_millis_testing 10.225057601928711 wall_clock_time_millis_testing 10.368824005126953 wall_clock_time_millis_testing 9.907722473144531 wall_clock_time_millis_testing 11.204242706298828 wall_clock_time_millis_testing 10.09058952331543 wall_clock_time_millis_testing 10.558605194091797 wall_clock_time_millis_training 4202.253580093384 wall_clock_time_millis_training 4190.001964569092 wall_clock_time_millis_training 4176.041841506958 wall_clock_time_millis_training 4157.116174697876 wall_clock_time_millis_training 4171.728610992432 wall_clock_time_millis_training 4211.550712585449 wall_clock_time_millis_training 4217.124700546265 wall_clock_time_millis_training 4188.0927085876465 wall_clock_time_millis_training 4187.180757522583 wall_clock_time_millis_training 4184.591770172119 weighted_recall 0.8785046728971962 [0.910412,0.839286] weighted_recall 0.8684913217623498 [0.903148,0.825893] weighted_recall 0.8871829105473965 [0.909201,0.860119] weighted_recall 0.8651535380507344 [0.898305,0.824405] weighted_recall 0.8718291054739653 [0.911622,0.822917] weighted_recall 0.8805073431241656 [0.901937,0.854167] weighted_recall 0.8898531375166889 [0.917676,0.855655] weighted_recall 0.8718291054739653 [0.89697,0.84101] weighted_recall 0.8851802403204272 [0.911515,0.852897] weighted_recall 0.8778371161548731 [0.904242,0.845468]