10590934 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304392 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19174 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 9210 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22109464 description https://api.openml.org/data/download/22109464/description.xml -1 22109465 predictions https://api.openml.org/data/download/22109465/predictions.arff area_under_roc_curve 0.9683499787099361 [0.96835,0.96835] average_cost 0 f_measure 0.9041524124335425 [0.914483,0.891464] kappa 0.8059993388212255 kb_relative_information_score 0.6469351278178996 mean_absolute_error 0.1922224243312998 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.9043391188251001 [0.92794,0.875353] number_of_instances 14980 [8257,6723] precision 0.9044488946045709 [0.901412,0.908179] predictive_accuracy 0.9043391188251002 prior_entropy 0.9924223735239917 relative_absolute_error 0.3885184711956891 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2740689494259767 root_relative_squared_error 0.5510347027164965 total_cost 0 unweighted_recall 0.901646597334034 [0.92794,0.875353] area_under_roc_curve 0.9717514124293786 [0.971751,0.971751] area_under_roc_curve 0.9698075204658135 [0.969808,0.969808] area_under_roc_curve 0.972677418424997 [0.972677,0.972677] area_under_roc_curve 0.9664692148045659 [0.966469,0.966469] area_under_roc_curve 0.9705137351550791 [0.970514,0.970514] area_under_roc_curve 0.9681158480341289 [0.968116,0.968116] area_under_roc_curve 0.9702741265997925 [0.970274,0.970274] area_under_roc_curve 0.9634076275383854 [0.963408,0.963408] area_under_roc_curve 0.9662857400153091 [0.966286,0.966286] area_under_roc_curve 0.964392813724166 [0.964393,0.964393] 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 0.9129307526067271 [0.923077,0.900459] f_measure 0.8970163922568376 [0.908005,0.88351] f_measure 0.9117123547386969 [0.921241,0.9] f_measure 0.8943028400734295 [0.90584,0.880121] f_measure 0.9096806679979516 [0.919595,0.897494] f_measure 0.8998664886515354 [0.909201,0.888393] f_measure 0.9156612578623844 [0.925178,0.903963] f_measure 0.8943247168672783 [0.905615,0.880484] f_measure 0.9057364196590565 [0.915518,0.893745] f_measure 0.9002787789240625 [0.911362,0.886692] kappa 0.8236517153071832 kappa 0.7915601993574013 kappa 0.8212875797145461 kappa 0.7860270851790911 kappa 0.8171495841719516 kappa 0.7975938256658596 kappa 0.8292207134171058 kappa 0.7861550665792074 kappa 0.8092946489677327 kappa 0.7981420553512677 kb_relative_information_score 0.6539413909908209 kb_relative_information_score 0.6458550321762239 kb_relative_information_score 0.6536280853670471 kb_relative_information_score 0.6390754850931993 kb_relative_information_score 0.6484541157967614 kb_relative_information_score 0.647573756207223 kb_relative_information_score 0.6550012550095222 kb_relative_information_score 0.6346783701084361 kb_relative_information_score 0.6469635727599815 kb_relative_information_score 0.6441832022612803 mean_absolute_error 0.18941182693604577 mean_absolute_error 0.19248442749080408 mean_absolute_error 0.1893629028453293 mean_absolute_error 0.19516669925095503 mean_absolute_error 0.1922112767984111 mean_absolute_error 0.19125115259796485 mean_absolute_error 0.18948545536999342 mean_absolute_error 0.19788191008524614 mean_absolute_error 0.19165493311280224 mean_absolute_error 0.19331365882543816 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 0.9138433555758654 [0.902778,0.927445] precision 0.8972290872590644 [0.896226,0.898462] precision 0.9120175920835623 [0.908235,0.916667] precision 0.8946269459198017 [0.892019,0.897833] precision 0.9100823945454541 [0.905041,0.916279] precision 0.8998664886515354 [0.909201,0.888393] precision 0.9162859725943838 [0.907925,0.926562] precision 0.8945893058926963 [0.892815,0.896764] precision 0.9058937093547904 [0.905213,0.906728] precision 0.9008080348044537 [0.89486,0.9081] predictive_accuracy 0.9132176234979973 predictive_accuracy 0.897196261682243 predictive_accuracy 0.9118825100133512 predictive_accuracy 0.8945260347129507 predictive_accuracy 0.9098798397863819 predictive_accuracy 0.8998664886515354 predictive_accuracy 0.9158878504672897 predictive_accuracy 0.8945260347129507 predictive_accuracy 0.9058744993324432 predictive_accuracy 0.9005340453938585 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 0.38285358095282357 relative_absolute_error 0.3890641547287897 relative_absolute_error 0.3827546918621651 relative_absolute_error 0.39448576627794163 relative_absolute_error 0.388512041788357 relative_absolute_error 0.38657136577964907 relative_absolute_error 0.383002404339688 relative_absolute_error 0.39991870566651583 relative_absolute_error 0.38733400517538874 relative_absolute_error 0.39068628452102155 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 0.2685290065346377 root_mean_squared_error 0.2736644345771698 root_mean_squared_error 0.26814436994321117 root_mean_squared_error 0.27950543848304094 root_mean_squared_error 0.27145666105812816 root_mean_squared_error 0.27434380896855726 root_mean_squared_error 0.2685515457927603 root_mean_squared_error 0.2816387006978177 root_mean_squared_error 0.2767737034916029 root_mean_squared_error 0.27769754994009016 root_relative_squared_error 0.539918639306876 root_relative_squared_error 0.5502442028531169 root_relative_squared_error 0.5391452686094208 root_relative_squared_error 0.5619884345908427 root_relative_squared_error 0.5458051365128295 root_relative_squared_error 0.5516101889777127 root_relative_squared_error 0.5399639579327243 root_relative_squared_error 0.5661994628225488 root_relative_squared_error 0.5564189930292744 root_relative_squared_error 0.5582762710296627 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 0.9096549636803875 [0.94431,0.875] unweighted_recall 0.8945722356739306 [0.920097,0.869048] unweighted_recall 0.9092766343825666 [0.934625,0.883929] unweighted_recall 0.8915960451977402 [0.920097,0.863095] unweighted_recall 0.9070444915254237 [0.934625,0.879464] unweighted_recall 0.8987969128329298 [0.909201,0.888393] unweighted_recall 0.9127698748991122 [0.943099,0.88244] unweighted_recall 0.8917862127966141 [0.918788,0.864785] unweighted_recall 0.9035949389886982 [0.926061,0.881129] unweighted_recall 0.8973776396956189 [0.928485,0.86627] usercpu_time_millis 4031.25 usercpu_time_millis 5578.125 usercpu_time_millis 5359.375 usercpu_time_millis 4671.875 usercpu_time_millis 5593.75 usercpu_time_millis 5156.25 usercpu_time_millis 4718.75 usercpu_time_millis 4328.125 usercpu_time_millis 3750 usercpu_time_millis 6265.625 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 125 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 0 usercpu_time_millis_testing 62.5 usercpu_time_millis_training 3984.375 usercpu_time_millis_training 5515.625 usercpu_time_millis_training 5265.625 usercpu_time_millis_training 4625 usercpu_time_millis_training 5468.75 usercpu_time_millis_training 5078.125 usercpu_time_millis_training 4593.75 usercpu_time_millis_training 4281.25 usercpu_time_millis_training 3750 usercpu_time_millis_training 6203.125 wall_clock_time_millis 1991.8584823608398 wall_clock_time_millis 1917.9003238677979 wall_clock_time_millis 1909.9044799804688 wall_clock_time_millis 1883.920431137085 wall_clock_time_millis 2207.7341079711914 wall_clock_time_millis 2206.7365646362305 wall_clock_time_millis 1944.8845386505127 wall_clock_time_millis 1950.8817195892334 wall_clock_time_millis 1938.887357711792 wall_clock_time_millis 1901.9091129302979 wall_clock_time_millis_testing 20.987510681152344 wall_clock_time_millis_testing 24.98459815979004 wall_clock_time_millis_testing 22.986412048339844 wall_clock_time_millis_testing 27.9843807220459 wall_clock_time_millis_testing 27.9843807220459 wall_clock_time_millis_testing 20.989656448364258 wall_clock_time_millis_testing 20.987987518310547 wall_clock_time_millis_testing 20.98679542541504 wall_clock_time_millis_testing 21.986961364746094 wall_clock_time_millis_testing 22.988319396972656 wall_clock_time_millis_training 1970.8709716796875 wall_clock_time_millis_training 1892.9157257080078 wall_clock_time_millis_training 1886.918067932129 wall_clock_time_millis_training 1855.936050415039 wall_clock_time_millis_training 2179.7497272491455 wall_clock_time_millis_training 2185.746908187866 wall_clock_time_millis_training 1923.8965511322021 wall_clock_time_millis_training 1929.8949241638184 wall_clock_time_millis_training 1916.900396347046 wall_clock_time_millis_training 1878.9207935333252 weighted_recall 0.9132176234979973 [0.94431,0.875] weighted_recall 0.897196261682243 [0.920097,0.869048] weighted_recall 0.9118825100133512 [0.934625,0.883929] weighted_recall 0.8945260347129506 [0.920097,0.863095] weighted_recall 0.9098798397863819 [0.934625,0.879464] weighted_recall 0.8998664886515354 [0.909201,0.888393] weighted_recall 0.9158878504672897 [0.943099,0.88244] weighted_recall 0.8945260347129506 [0.918788,0.864785] weighted_recall 0.9058744993324432 [0.926061,0.881129] weighted_recall 0.9005340453938585 [0.928485,0.86627]