9954238 6892 Scikit-learn Bot 2074 Supervised Classification 8890 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3) 7882151 memory null 8890 n_jobs null 8891 remainder "passthrough" 8891 sparse_threshold 0.3 8891 transformer_weights null 8891 memory null 8892 axis 0 8893 copy true 8893 missing_values "NaN" 8893 strategy "most_frequent" 8893 verbose 0 8893 copy true 8894 with_mean true 8894 with_std true 8894 memory null 8895 copy true 8896 fill_value -1 8896 missing_values NaN 8896 strategy "constant" 8896 verbose 0 8896 categorical_features null 8897 categories null 8897 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8897 handle_unknown "ignore" 8897 n_values null 8897 sparse true 8897 threshold 0.0 8898 criterion "friedman_mse" 8899 init null 8899 learning_rate 1.0303919710421832 8899 loss "deviance" 8899 max_depth 8 8899 max_features 0.5188316965175466 8899 max_leaf_nodes null 8899 min_impurity_decrease 0.8067835530347546 8899 min_impurity_split null 8899 min_samples_leaf 15 8899 min_samples_split 4 8899 min_weight_fraction_leaf 0.47679726564935676 8899 n_estimators 327 8899 n_iter_no_change 202 8899 presort "auto" 8899 random_state 11274 8899 subsample 0.7188975953614104 8899 tol 0.0009452715594501128 8899 validation_fraction 0.4864804581105816 8899 verbose 0 8899 warm_start false 8899 openml-python Sklearn_0.20.2. 182 satimage https://www.openml.org/data/download/3619/dataset_186_satimage.arff -1 20828992 description https://api.openml.org/data/download/20828992/description.xml -1 20828993 predictions https://api.openml.org/data/download/20828993/predictions.arff area_under_roc_curve 0.9423557227878514 [0.958086,0.990614,0.971354,0.895649,0.86397,0.93392] average_cost 0 f_measure 0.7222226281956521 [0.81403,0.884344,0.841567,0.540494,0.308784,0.715274] kappa 0.6670598616954603 kb_relative_information_score 4222.013985561851 mean_absolute_error 0.11935075386279835 mean_prior_absolute_error 0.27012071805786425 number_of_instances 6430 [1531,703,1356,625,707,1508] precision 0.7308780309635035 [0.923715,0.876923,0.782141,0.578467,0.414286,0.632518] predictive_accuracy 0.7321928460342145 prior_entropy 2.4835558356105776 recall 0.7321928460342146 [0.727629,0.891892,0.910767,0.5072,0.24611,0.822944] relative_absolute_error 0.44184227970707335 root_mean_prior_squared_error 0.3675007345009808 root_mean_squared_error 0.24453081668964824 root_relative_squared_error 0.6653886475130177 total_cost 0 area_under_roc_curve 0.9486799754893877 [0.968841,0.990726,0.972742,0.891968,0.896647,0.934872] area_under_roc_curve 0.9483742592381565 [0.963645,0.993244,0.974685,0.929365,0.86006,0.937275] area_under_roc_curve 0.9453843495973182 [0.954535,0.993169,0.97535,0.897578,0.901211,0.927886] area_under_roc_curve 0.9356629010583568 [0.947472,0.994702,0.965908,0.887589,0.834901,0.936723] area_under_roc_curve 0.9383719404684414 [0.95881,0.985041,0.971603,0.898454,0.827452,0.935128] area_under_roc_curve 0.9471213801464506 [0.974551,0.988345,0.97371,0.894245,0.882067,0.928566] area_under_roc_curve 0.9480648583978537 [0.962185,0.987459,0.981386,0.936497,0.839949,0.94107] area_under_roc_curve 0.9414457370740957 [0.964279,0.994829,0.968978,0.883738,0.876207,0.922657] area_under_roc_curve 0.9342664774614594 [0.939596,0.987541,0.969798,0.890692,0.839456,0.934287] area_under_roc_curve 0.9396727235272149 [0.951647,0.995383,0.964947,0.874035,0.872999,0.93644] 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 0.7777955024207316 [0.836364,0.921986,0.846667,0.571429,0.57485,0.769759] f_measure 0.7072313172390007 [0.788104,0.873239,0.849498,0.561404,0.204082,0.714286] f_measure 0.7516746378733737 [0.839416,0.903704,0.850498,0.550459,0.541176,0.686869] f_measure 0.6783638230200982 [0.755725,0.872483,0.79021,0.507937,0.191489,0.710027] f_measure 0.7055294479653491 [0.794224,0.888889,0.856164,0.491228,0.207547,0.719547] f_measure 0.7125601912867456 [0.848921,0.841379,0.853047,0.515152,0.215686,0.702857] f_measure 0.7344075163833474 [0.842857,0.877698,0.875862,0.683761,0.148936,0.726776] f_measure 0.7122245248346055 [0.84058,0.92517,0.833333,0.508475,0.206186,0.694444] f_measure 0.6851852146385612 [0.776119,0.842105,0.842809,0.5,0.192308,0.685083] f_measure 0.7188226395732029 [0.81295,0.895105,0.817276,0.522523,0.252632,0.748603] kappa 0.7248314967369209 kappa 0.6582648109506971 kappa 0.6918985842388311 kappa 0.6246520850823112 kappa 0.6551572452109357 kappa 0.6583001324034071 kappa 0.6947686372212278 kappa 0.6627459727983023 kappa 0.625694852885732 kappa 0.6733741121831601 kb_relative_information_score 434.7645896735337 kb_relative_information_score 422.263420817535 kb_relative_information_score 427.7018454356293 kb_relative_information_score 405.04012682349384 kb_relative_information_score 413.0273854503208 kb_relative_information_score 427.7046565714495 kb_relative_information_score 437.1915875521133 kb_relative_information_score 420.12982294197855 kb_relative_information_score 412.16096005085706 kb_relative_information_score 422.02959024494106 mean_absolute_error 0.11383999998380032 mean_absolute_error 0.11982305027039925 mean_absolute_error 0.1179068863240343 mean_absolute_error 0.12686936860094383 mean_absolute_error 0.1233557704502881 mean_absolute_error 0.11786609889240483 mean_absolute_error 0.11204760825753306 mean_absolute_error 0.12063778903330252 mean_absolute_error 0.12247699471157009 mean_absolute_error 0.11868397210369261 mean_prior_absolute_error 0.27009674714000104 mean_prior_absolute_error 0.27009674714000104 mean_prior_absolute_error 0.2701490224279501 mean_prior_absolute_error 0.2701490224279501 mean_prior_absolute_error 0.2701490224279501 mean_prior_absolute_error 0.270076046448163 mean_prior_absolute_error 0.2700901422499983 mean_prior_absolute_error 0.2701549829384404 mean_prior_absolute_error 0.2701549829384404 mean_prior_absolute_error 0.2700904644397545 number_of_instances 643 [153,70,136,63,70,151] number_of_instances 643 [153,70,136,63,70,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [154,70,135,62,71,151] number_of_instances 643 [153,70,136,62,71,151] number_of_instances 643 [153,71,136,62,71,150] number_of_instances 643 [153,71,136,62,71,150] number_of_instances 643 [153,71,136,62,70,151] precision 0.7934757761881557 [0.942623,0.915493,0.77439,0.653061,0.494845,0.8] precision 0.7196583965276275 [0.913793,0.861111,0.779141,0.627451,0.357143,0.610329] precision 0.769474218618261 [0.950413,0.938462,0.771084,0.652174,0.464646,0.69863] precision 0.6968987096938156 [0.908257,0.822785,0.748344,0.507937,0.391304,0.600917] precision 0.7085359066843456 [0.887097,0.864865,0.796178,0.54902,0.314286,0.628713] precision 0.7211255253856101 [0.951613,0.813333,0.826389,0.485714,0.354839,0.61809] precision 0.7407562822869109 [0.929134,0.884058,0.824675,0.727273,0.304348,0.618605] precision 0.72316502655774 [0.943089,0.894737,0.789474,0.535714,0.384615,0.595238] precision 0.69820069999097 [0.904348,0.903226,0.773006,0.517241,0.30303,0.584906] precision 0.7322668726508261 [0.904,0.888889,0.745455,0.591837,0.48,0.647343] predictive_accuracy 0.7760497667185069 predictive_accuracy 0.7262830482115085 predictive_accuracy 0.749611197511664 predictive_accuracy 0.6982892690513219 predictive_accuracy 0.7231726283048212 predictive_accuracy 0.7247278382581649 predictive_accuracy 0.7558320373250389 predictive_accuracy 0.7293934681181959 predictive_accuracy 0.6998444790046656 predictive_accuracy 0.7387247278382582 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 prior_entropy 2.4835558356105776 recall 0.776049766718507 [0.751634,0.928571,0.933824,0.507937,0.685714,0.741722] recall 0.7262830482115086 [0.69281,0.885714,0.933824,0.507937,0.142857,0.860927] recall 0.749611197511664 [0.751634,0.871429,0.948148,0.47619,0.647887,0.675497] recall 0.6982892690513219 [0.647059,0.928571,0.837037,0.507937,0.126761,0.86755] recall 0.7231726283048211 [0.718954,0.914286,0.925926,0.444444,0.15493,0.84106] recall 0.7247278382581649 [0.766234,0.871429,0.881481,0.548387,0.15493,0.81457] recall 0.7558320373250389 [0.771242,0.871429,0.933824,0.645161,0.098592,0.880795] recall 0.7293934681181959 [0.75817,0.957746,0.882353,0.483871,0.140845,0.833333] recall 0.6998444790046656 [0.679739,0.788732,0.926471,0.483871,0.140845,0.826667] recall 0.7387247278382582 [0.738562,0.901408,0.904412,0.467742,0.171429,0.887417] relative_absolute_error 0.42147860420100836 relative_absolute_error 0.44363011231783017 relative_absolute_error 0.43645127886953794 relative_absolute_error 0.46962734664264955 relative_absolute_error 0.45662119870593876 relative_absolute_error 0.43641818829359763 relative_absolute_error 0.41485263891571655 relative_absolute_error 0.44655030131645573 relative_absolute_error 0.45335826635290544 relative_absolute_error 0.439423036832779 root_mean_prior_squared_error 0.36746811962523923 root_mean_prior_squared_error 0.36746811962523923 root_mean_prior_squared_error 0.36753924175366387 root_mean_prior_squared_error 0.36753924175366387 root_mean_prior_squared_error 0.36753924175366387 root_mean_prior_squared_error 0.36743995189564116 root_mean_prior_squared_error 0.36745913249082046 root_mean_prior_squared_error 0.36754735033645464 root_mean_prior_squared_error 0.36754735033645464 root_mean_prior_squared_error 0.36745957089272085 root_mean_squared_error 0.2362105276235905 root_mean_squared_error 0.24159922582246257 root_mean_squared_error 0.23929564665732544 root_mean_squared_error 0.2559993063818046 root_mean_squared_error 0.24987417378440033 root_mean_squared_error 0.2402018128737676 root_mean_squared_error 0.23407228907840869 root_mean_squared_error 0.2462038533116966 root_mean_squared_error 0.25294572279617533 root_mean_squared_error 0.2479270583067291 root_relative_squared_error 0.642805497969426 root_relative_squared_error 0.6574698944465074 root_relative_squared_error 0.6510750947723529 root_relative_squared_error 0.6965223772034206 root_relative_squared_error 0.6798571292473681 root_relative_squared_error 0.6537171900729749 root_relative_squared_error 0.6370022361173894 root_relative_squared_error 0.6698561507417219 root_relative_squared_error 0.6881990104530139 root_relative_squared_error 0.6747056763398631 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 usercpu_time_millis 3958.4679719846463 usercpu_time_millis 3940.603237017058 usercpu_time_millis 3917.745938000735 usercpu_time_millis 3916.253984993091 usercpu_time_millis 3920.3650209965417 usercpu_time_millis 3946.875140987686 usercpu_time_millis 3907.406316997367 usercpu_time_millis 3905.229848998715 usercpu_time_millis 3911.6711869864957 usercpu_time_millis 3907.3053960019024 usercpu_time_millis_testing 8.875071987858973 usercpu_time_millis_testing 8.473523004795425 usercpu_time_millis_testing 9.013949005748145 usercpu_time_millis_testing 8.873081998899579 usercpu_time_millis_testing 9.301472993684001 usercpu_time_millis_testing 8.675232995301485 usercpu_time_millis_testing 8.717142001842149 usercpu_time_millis_testing 8.636583996121772 usercpu_time_millis_testing 9.013683986268006 usercpu_time_millis_testing 8.454982002149336 usercpu_time_millis_training 3949.5928999967873 usercpu_time_millis_training 3932.1297140122624 usercpu_time_millis_training 3908.7319889949868 usercpu_time_millis_training 3907.3809029941913 usercpu_time_millis_training 3911.0635480028577 usercpu_time_millis_training 3938.1999079923844 usercpu_time_millis_training 3898.689174995525 usercpu_time_millis_training 3896.5932650025934 usercpu_time_millis_training 3902.6575030002277 usercpu_time_millis_training 3898.850413999753