10590909 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304381 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 19172 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"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 20350 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22109414 description https://api.openml.org/data/download/22109414/description.xml -1 22109415 predictions https://api.openml.org/data/download/22109415/predictions.arff area_under_roc_curve 0.9364097610643022 [0.93641,0.93641] average_cost 0 f_measure 0.8746744768584732 [0.909508,0.810446] kappa 0.7209892425546008 kb_relative_information_score 0.5767610826238974 mean_absolute_error 0.20488433228181624 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8774973711882229 [0.949481,0.744767] number_of_instances 19020 [12332,6688] precision 0.8784129889158271 [0.872764,0.888829] predictive_accuracy 0.8774973711882229 prior_entropy 0.9355152453166837 relative_absolute_error 0.4493301790659334 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.30280540717793286 root_relative_squared_error 0.6341751907326976 total_cost 0 unweighted_recall 0.8471238856935781 [0.949481,0.744767] area_under_roc_curve 0.9358185978124789 [0.935819,0.935819] area_under_roc_curve 0.9414408621978086 [0.941441,0.941441] area_under_roc_curve 0.9382483691507946 [0.938248,0.938248] area_under_roc_curve 0.942337463646095 [0.942337,0.942337] area_under_roc_curve 0.9303981078391083 [0.930398,0.930398] area_under_roc_curve 0.9437807091239058 [0.943781,0.943781] area_under_roc_curve 0.9299077316981804 [0.929908,0.929908] area_under_roc_curve 0.9331379102581354 [0.933138,0.933138] area_under_roc_curve 0.9419252809812857 [0.941925,0.941925] area_under_roc_curve 0.9280535158575157 [0.928054,0.928054] 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 0.8759759576019199 [0.91106,0.811166] f_measure 0.8812307394351411 [0.913078,0.8224] f_measure 0.8704826060191415 [0.908183,0.800999] f_measure 0.8807315262638908 [0.912583,0.822027] f_measure 0.8765587101356894 [0.911343,0.812449] f_measure 0.8848498469112176 [0.916925,0.825733] f_measure 0.8646997215897732 [0.902826,0.794431] f_measure 0.8671264737093445 [0.904078,0.799024] f_measure 0.8793769847020095 [0.912144,0.818986] f_measure 0.8654787931205814 [0.90295,0.796417] kappa 0.7234479427702998 kappa 0.7360889228899938 kappa 0.7109176170725844 kappa 0.7352089568451767 kappa 0.7249858880667976 kappa 0.7436389677234062 kappa 0.6985653183614248 kappa 0.7042117311956724 kappa 0.7318901322788116 kappa 0.7005128127609885 kb_relative_information_score 0.5786669570220084 kb_relative_information_score 0.5869033036112975 kb_relative_information_score 0.5743620968991544 kb_relative_information_score 0.584317739346662 kb_relative_information_score 0.576556857333353 kb_relative_information_score 0.5809194889646285 kb_relative_information_score 0.5636009834962846 kb_relative_information_score 0.5742149068296748 kb_relative_information_score 0.5876603181517613 kb_relative_information_score 0.5604141505489728 mean_absolute_error 0.20388538380651938 mean_absolute_error 0.20023659305993674 mean_absolute_error 0.20635120925341746 mean_absolute_error 0.20225552050473158 mean_absolute_error 0.2052944269190326 mean_absolute_error 0.2042954784437436 mean_absolute_error 0.2097476340694004 mean_absolute_error 0.20464773922187188 mean_absolute_error 0.20100420609884306 mean_absolute_error 0.21112513144058856 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 number_of_instances 1902 [1234,668] number_of_instances 1902 [1234,668] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] precision 0.8807422949936902 [0.871302,0.898182] precision 0.8832729881007874 [0.883333,0.883162] precision 0.8773220511847442 [0.862774,0.904135] precision 0.8826965859621942 [0.883156,0.881849] precision 0.8812427802922934 [0.871852,0.898551] precision 0.889083198239657 [0.879375,0.906977] precision 0.8689514088907176 [0.863704,0.878623] precision 0.8706767449724603 [0.867362,0.876786] precision 0.8820651647798505 [0.879518,0.88676] precision 0.8690686198419137 [0.865972,0.874776] predictive_accuracy 0.879074658254469 predictive_accuracy 0.8832807570977919 predictive_accuracy 0.8743427970557307 predictive_accuracy 0.8827549947423765 predictive_accuracy 0.8796004206098843 predictive_accuracy 0.8874868559411146 predictive_accuracy 0.8680336487907466 predictive_accuracy 0.8701366982124079 predictive_accuracy 0.8817034700315457 predictive_accuracy 0.8685594111461619 prior_entropy 0.9351439892378896 prior_entropy 0.9351439892378896 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 relative_absolute_error 0.4472618066086453 relative_absolute_error 0.4392574822633448 relative_absolute_error 0.4525162122626718 relative_absolute_error 0.4435346048087214 relative_absolute_error 0.4501987500056193 relative_absolute_error 0.4480081140412417 relative_absolute_error 0.4599643745415565 relative_absolute_error 0.44878060146025917 relative_absolute_error 0.44079054502176374 relative_absolute_error 0.46298514623980386 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_squared_error 0.30123030235657566 root_mean_squared_error 0.296717495852368 root_mean_squared_error 0.3027077243005359 root_mean_squared_error 0.2973829948671788 root_mean_squared_error 0.3053155958003236 root_mean_squared_error 0.29832629860882287 root_mean_squared_error 0.30992231311772966 root_mean_squared_error 0.30669278222819785 root_mean_squared_error 0.29702883763881277 root_mean_squared_error 0.3122610127170722 root_relative_squared_error 0.6310491380913115 root_relative_squared_error 0.6215952331137103 root_relative_squared_error 0.6339272356496279 root_relative_squared_error 0.6227762449767933 root_relative_squared_error 0.6393886118818001 root_relative_squared_error 0.6247517014495348 root_relative_squared_error 0.6490359493628322 root_relative_squared_error 0.6422727007738619 root_relative_squared_error 0.6220345727473113 root_relative_squared_error 0.6539336287182297 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 0.8470700414406196 [0.954619,0.739521] unweighted_recall 0.8571778646920098 [0.944895,0.769461] unweighted_recall 0.8388105135674774 [0.958637,0.718984] unweighted_recall 0.8569223047799854 [0.944039,0.769806] unweighted_recall 0.8479937008790401 [0.954582,0.741405] unweighted_recall 0.8578369866052757 [0.957826,0.757848] unweighted_recall 0.8353118101244186 [0.945661,0.724963] unweighted_recall 0.8389850850490437 [0.944039,0.733931] unweighted_recall 0.8540600598634706 [0.947283,0.760837] unweighted_recall 0.8370848017340767 [0.943228,0.730942] usercpu_time_millis 2156.25 usercpu_time_millis 2140.625 usercpu_time_millis 2093.75 usercpu_time_millis 2125 usercpu_time_millis 2187.5 usercpu_time_millis 2078.125 usercpu_time_millis 2156.25 usercpu_time_millis 2078.125 usercpu_time_millis 2250 usercpu_time_millis 2109.375 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 93.75 usercpu_time_millis_training 2078.125 usercpu_time_millis_training 2062.5 usercpu_time_millis_training 2015.625 usercpu_time_millis_training 2046.875 usercpu_time_millis_training 2109.375 usercpu_time_millis_training 2000 usercpu_time_millis_training 2078.125 usercpu_time_millis_training 2000 usercpu_time_millis_training 2171.875 usercpu_time_millis_training 2015.625 wall_clock_time_millis 2197.7596282958984 wall_clock_time_millis 2199.761390686035 wall_clock_time_millis 2116.786003112793 wall_clock_time_millis 2152.7421474456787 wall_clock_time_millis 2254.7078132629395 wall_clock_time_millis 2130.777597427368 wall_clock_time_millis 2298.6629009246826 wall_clock_time_millis 2161.780595779419 wall_clock_time_millis 2319.6940422058105 wall_clock_time_millis 2136.7740631103516 wall_clock_time_millis_testing 82.95392990112305 wall_clock_time_millis_testing 86.97247505187988 wall_clock_time_millis_testing 85.94942092895508 wall_clock_time_millis_testing 84.92875099182129 wall_clock_time_millis_testing 81.93159103393555 wall_clock_time_millis_testing 86.94815635681152 wall_clock_time_millis_testing 88.9286994934082 wall_clock_time_millis_testing 83.97316932678223 wall_clock_time_millis_testing 86.95197105407715 wall_clock_time_millis_testing 93.9493179321289 wall_clock_time_millis_training 2114.8056983947754 wall_clock_time_millis_training 2112.7889156341553 wall_clock_time_millis_training 2030.836582183838 wall_clock_time_millis_training 2067.8133964538574 wall_clock_time_millis_training 2172.776222229004 wall_clock_time_millis_training 2043.8294410705566 wall_clock_time_millis_training 2209.7342014312744 wall_clock_time_millis_training 2077.8074264526367 wall_clock_time_millis_training 2232.7420711517334 wall_clock_time_millis_training 2042.8247451782227 weighted_recall 0.879074658254469 [0.954619,0.739521] weighted_recall 0.8832807570977917 [0.944895,0.769461] weighted_recall 0.8743427970557308 [0.958637,0.718984] weighted_recall 0.8827549947423764 [0.944039,0.769806] weighted_recall 0.8796004206098843 [0.954582,0.741405] weighted_recall 0.8874868559411146 [0.957826,0.757848] weighted_recall 0.8680336487907466 [0.945661,0.724963] weighted_recall 0.870136698212408 [0.944039,0.733931] weighted_recall 0.8817034700315457 [0.947283,0.760837] weighted_recall 0.868559411146162 [0.943228,0.730942]