10586187 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) 8302469 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 0.7006625510289871 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 511 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 93 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 43191 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.30010401719706453 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 22098642 description https://api.openml.org/data/download/22098642/description.xml -1 22098643 predictions https://api.openml.org/data/download/22098643/predictions.arff area_under_roc_curve 0.9506143116101905 [0.950614,0.950614] average_cost 0 f_measure 0.8812190192697923 [0.893497,0.866139] kappa 0.7596682408264807 kb_relative_information_score 0.6561459174574167 mean_absolute_error 0.1815429662944929 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8813751668891856 [0.902749,0.855124] number_of_instances 14980 [8257,6723] precision 0.8812953649052666 [0.884433,0.877442] predictive_accuracy 0.8813751668891855 prior_entropy 0.9924223735239917 relative_absolute_error 0.3669332335518877 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2945260803530026 root_relative_squared_error 0.5921651886121662 total_cost 0 unweighted_recall 0.8789366915087673 [0.902749,0.855124] area_under_roc_curve 0.9498371382451287 [0.949837,0.949837] area_under_roc_curve 0.9501938487259312 [0.950194,0.950194] area_under_roc_curve 0.9642208578346593 [0.964221,0.964221] area_under_roc_curve 0.9503091490833621 [0.950309,0.950309] area_under_roc_curve 0.9480337685921827 [0.948034,0.948034] area_under_roc_curve 0.951440533840655 [0.951441,0.951441] area_under_roc_curve 0.9591278248587569 [0.959128,0.959128] area_under_roc_curve 0.94327524877302 [0.943275,0.943275] area_under_roc_curve 0.9425133954703048 [0.942513,0.942513] area_under_roc_curve 0.9480354811112611 [0.948035,0.948035] 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 0.8850197098086147 [0.897006,0.870287] f_measure 0.8742569900823867 [0.887828,0.857576] f_measure 0.8985024761065321 [0.908213,0.886567] f_measure 0.8755716978079614 [0.889154,0.858877] f_measure 0.8734014296841367 [0.888232,0.855172] f_measure 0.8791805547275543 [0.890369,0.865428] f_measure 0.891723013887055 [0.902878,0.878012] f_measure 0.8755974515019858 [0.888889,0.859304] f_measure 0.8737871491963534 [0.885801,0.85906] f_measure 0.8850409505380396 [0.896759,0.870677] kappa 0.7673266074995574 kappa 0.7454701892904141 kappa 0.7947812042598293 kappa 0.7481078344513352 kappa 0.7435809654228005 kappa 0.755797092312154 kappa 0.7809150657229526 kappa 0.7482584960995733 kappa 0.7448638809036758 kappa 0.7674622614434061 kb_relative_information_score 0.6532425973959421 kb_relative_information_score 0.6510184040216594 kb_relative_information_score 0.6736079627929326 kb_relative_information_score 0.6427644996213044 kb_relative_information_score 0.6481396877785484 kb_relative_information_score 0.655855556425297 kb_relative_information_score 0.6801933169256309 kb_relative_information_score 0.6485999896083092 kb_relative_information_score 0.6404783035492114 kb_relative_information_score 0.6675612094455968 mean_absolute_error 0.1836384513795588 mean_absolute_error 0.18373266573600994 mean_absolute_error 0.17412717012507578 mean_absolute_error 0.18804797238872184 mean_absolute_error 0.18469071306154802 mean_absolute_error 0.18110176797582983 mean_absolute_error 0.17001836701976275 mean_absolute_error 0.18473753248050226 mean_absolute_error 0.1895247873953862 mean_absolute_error 0.17581023538253457 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 0.885118024229416 [0.887441,0.882263] precision 0.8744698959542281 [0.875294,0.873457] precision 0.8984865085727655 [0.906024,0.889222] precision 0.8758444109095804 [0.875587,0.876161] precision 0.8741782585530674 [0.868208,0.881517] precision 0.879189669255076 [0.890909,0.864785] precision 0.8917962106786028 [0.894299,0.88872] precision 0.8758163019866532 [0.876325,0.875193] precision 0.8737621592756386 [0.883133,0.862275] precision 0.8851060105652282 [0.888228,0.881279] predictive_accuracy 0.8851802403204272 predictive_accuracy 0.8744993324432576 predictive_accuracy 0.8985313751668892 predictive_accuracy 0.8758344459279038 predictive_accuracy 0.8738317757009345 predictive_accuracy 0.8791722296395195 predictive_accuracy 0.8918558077436581 predictive_accuracy 0.8758344459279038 predictive_accuracy 0.8738317757009345 predictive_accuracy 0.8851802403204272 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 0.3711839954694796 relative_absolute_error 0.37137442868755244 relative_absolute_error 0.3519590708877754 relative_absolute_error 0.3800968544812603 relative_absolute_error 0.37331090675884193 relative_absolute_error 0.3660566581718506 relative_absolute_error 0.3436540457594854 relative_absolute_error 0.3733539606819108 relative_absolute_error 0.3830289875119595 relative_absolute_error 0.35531192187714256 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 0.29380293524830253 root_mean_squared_error 0.29771352933841555 root_mean_squared_error 0.27603085091350293 root_mean_squared_error 0.29723500559862875 root_mean_squared_error 0.3016784162701589 root_mean_squared_error 0.29567926576856685 root_mean_squared_error 0.2797282667704591 root_mean_squared_error 0.30364977684447736 root_mean_squared_error 0.30509422605028774 root_mean_squared_error 0.2932426615178803 root_relative_squared_error 0.590735738647914 root_relative_squared_error 0.5985985861937451 root_relative_squared_error 0.5550022448420807 root_relative_squared_error 0.597636441024417 root_relative_squared_error 0.6065705978017958 root_relative_squared_error 0.5945083881447585 root_relative_squared_error 0.5624364649444141 root_relative_squared_error 0.6104499847128505 root_relative_squared_error 0.6133538695922293 root_relative_squared_error 0.5895277780244526 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 0.8827053066989508 [0.90678,0.858631] unweighted_recall 0.8714941485068604 [0.900726,0.842262] unweighted_recall 0.8971700968523002 [0.910412,0.883929] unweighted_recall 0.872704802259887 [0.903148,0.842262] unweighted_recall 0.8697790556900726 [0.909201,0.830357] unweighted_recall 0.8779509685230025 [0.889831,0.866071] unweighted_recall 0.8895908999192897 [0.911622,0.86756] unweighted_recall 0.8729001756044847 [0.901818,0.843982] unweighted_recall 0.8721770453419784 [0.888485,0.855869] unweighted_recall 0.8828907199783871 [0.905455,0.860327] usercpu_time_millis 3339.8635040002773 usercpu_time_millis 3346.1156189996473 usercpu_time_millis 3360.901090999505 usercpu_time_millis 3363.796337999702 usercpu_time_millis 3346.4118370002325 usercpu_time_millis 3358.7691579996317 usercpu_time_millis 3347.3135540007206 usercpu_time_millis 3353.5362090005947 usercpu_time_millis 3320.784008999908 usercpu_time_millis 3307.6975310004855 usercpu_time_millis_testing 10.316609999790671 usercpu_time_millis_testing 10.49158499972691 usercpu_time_millis_testing 10.540938999838545 usercpu_time_millis_testing 10.523842999646149 usercpu_time_millis_testing 10.714308000387973 usercpu_time_millis_testing 10.663105999810796 usercpu_time_millis_testing 10.26815700060979 usercpu_time_millis_testing 9.807416000512603 usercpu_time_millis_testing 10.420349999549217 usercpu_time_millis_testing 8.16612200014788 usercpu_time_millis_training 3329.5468940004866 usercpu_time_millis_training 3335.6240339999204 usercpu_time_millis_training 3350.3601519996664 usercpu_time_millis_training 3353.2724950000556 usercpu_time_millis_training 3335.6975289998445 usercpu_time_millis_training 3348.106051999821 usercpu_time_millis_training 3337.045397000111 usercpu_time_millis_training 3343.728793000082 usercpu_time_millis_training 3310.363659000359 usercpu_time_millis_training 3299.5314090003376 wall_clock_time_millis 3400.8736610412598 wall_clock_time_millis 3419.5306301116943 wall_clock_time_millis 3443.962335586548 wall_clock_time_millis 3439.2495155334473 wall_clock_time_millis 3415.7471656799316 wall_clock_time_millis 3395.686388015747 wall_clock_time_millis 3388.019800186157 wall_clock_time_millis 3441.3602352142334 wall_clock_time_millis 3388.3461952209473 wall_clock_time_millis 3349.56955909729 wall_clock_time_millis_testing 10.324954986572266 wall_clock_time_millis_testing 11.280059814453125 wall_clock_time_millis_testing 10.549306869506836 wall_clock_time_millis_testing 11.34943962097168 wall_clock_time_millis_testing 10.845184326171875 wall_clock_time_millis_testing 10.720491409301758 wall_clock_time_millis_testing 10.274887084960938 wall_clock_time_millis_testing 9.857416152954102 wall_clock_time_millis_testing 10.428667068481445 wall_clock_time_millis_testing 9.36126708984375 wall_clock_time_millis_training 3390.5487060546875 wall_clock_time_millis_training 3408.250570297241 wall_clock_time_millis_training 3433.413028717041 wall_clock_time_millis_training 3427.9000759124756 wall_clock_time_millis_training 3404.9019813537598 wall_clock_time_millis_training 3384.9658966064453 wall_clock_time_millis_training 3377.7449131011963 wall_clock_time_millis_training 3431.5028190612793 wall_clock_time_millis_training 3377.917528152466 wall_clock_time_millis_training 3340.2082920074463 weighted_recall 0.8851802403204272 [0.90678,0.858631] weighted_recall 0.8744993324432577 [0.900726,0.842262] weighted_recall 0.8985313751668892 [0.910412,0.883929] weighted_recall 0.8758344459279038 [0.903148,0.842262] weighted_recall 0.8738317757009346 [0.909201,0.830357] weighted_recall 0.8791722296395194 [0.889831,0.866071] weighted_recall 0.8918558077436582 [0.911622,0.86756] weighted_recall 0.8758344459279038 [0.901818,0.843982] weighted_recall 0.8738317757009346 [0.888485,0.855869] weighted_recall 0.8851802403204272 [0.905455,0.860327]