10591649 32516 Gaurav Kumar 3954 Supervised Classification 19095 sklearn.ensemble._forest.RandomForestClassifier(12) 8304428 Python_3.7.15. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. bootstrap true 19095 ccp_alpha 0.0 19095 class_weight null 19095 criterion "gini" 19095 max_depth null 19095 max_features "auto" 19095 max_leaf_nodes null 19095 max_samples null 19095 min_impurity_decrease 0.0 19095 min_samples_leaf 1 19095 min_samples_split 2 19095 min_weight_fraction_leaf 0.0 19095 n_estimators 100 19095 n_jobs null 19095 oob_score false 19095 random_state 9975 19095 verbose 0 19095 warm_start false 19095 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22110905 description https://api.openml.org/data/download/22110905/description.xml -1 22110906 predictions https://api.openml.org/data/download/22110906/predictions.arff area_under_roc_curve 0.9372620046923474 [0.937262,0.937262] average_cost 0 f_measure 0.8796757199094335 [0.911582,0.820843] kappa 0.7329673701929497 kb_relative_information_score 0.5978652208129135 mean_absolute_error 0.19408727655100588 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8815983175604627 [0.941372,0.771382] number_of_instances 19020 [12332,6688] precision 0.8813212854217819 [0.88362,0.877083] predictive_accuracy 0.8815983175604627 prior_entropy 0.9355152453166837 relative_absolute_error 0.42565124309811736 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.29866853147419903 root_relative_squared_error 0.6255111976986786 total_cost 0 unweighted_recall 0.8563768095839664 [0.941372,0.771382] area_under_roc_curve 0.9366617251720222 [0.936662,0.936662] area_under_roc_curve 0.9399948077912246 [0.939995,0.939995] area_under_roc_curve 0.936165028240574 [0.936165,0.936165] area_under_roc_curve 0.9411633492023658 [0.941163,0.941163] area_under_roc_curve 0.9315649484711054 [0.931565,0.931565] area_under_roc_curve 0.9455306669964127 [0.945531,0.945531] area_under_roc_curve 0.9331397287110683 [0.93314,0.93314] area_under_roc_curve 0.9334955393349553 [0.933496,0.933496] area_under_roc_curve 0.9435346118269754 [0.943535,0.943535] area_under_roc_curve 0.9322892988894101 [0.932289,0.932289] 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 0.8792032443665888 [0.911373,0.819777] f_measure 0.8783792060140323 [0.909163,0.821512] f_measure 0.8767474799401948 [0.911137,0.813366] f_measure 0.8921468290664133 [0.919476,0.841777] f_measure 0.8776205634840304 [0.911146,0.815832] f_measure 0.8858102121845691 [0.916829,0.82864] f_measure 0.8718715526390235 [0.906677,0.807723] f_measure 0.8734764253780777 [0.906803,0.812054] f_measure 0.8841529920587371 [0.913561,0.829953] f_measure 0.877073070521445 [0.909733,0.816879] kappa 0.7317134062159064 kappa 0.7309088078407241 kappa 0.7255722521500803 kappa 0.7614765613127296 kappa 0.7278344925233187 kappa 0.7461893252239419 kappa 0.7152077405094933 kappa 0.7193757680570445 kappa 0.7437623982647065 kappa 0.7271853051999805 kb_relative_information_score 0.594716251482227 kb_relative_information_score 0.6017839846216085 kb_relative_information_score 0.5952208980434505 kb_relative_information_score 0.6064674241803784 kb_relative_information_score 0.5943052412568762 kb_relative_information_score 0.6038243002077178 kb_relative_information_score 0.5872884557210538 kb_relative_information_score 0.5932089289190086 kb_relative_information_score 0.6105927936480962 kb_relative_information_score 0.5912443118737826 mean_absolute_error 0.19480546792849623 mean_absolute_error 0.19147213459516324 mean_absolute_error 0.19519978969505772 mean_absolute_error 0.19168769716088294 mean_absolute_error 0.19570452155625614 mean_absolute_error 0.19310725552050464 mean_absolute_error 0.19822292323869634 mean_absolute_error 0.1957623554153522 mean_absolute_error 0.1887697160883281 mean_absolute_error 0.19614090431125106 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 0.8809256884104201 [0.882979,0.877133] precision 0.8786660289006983 [0.890443,0.856911] precision 0.8808115769882459 [0.873512,0.894265] precision 0.8926813227537103 [0.899845,0.879479] precision 0.8806810055759714 [0.876969,0.887522] precision 0.8886707454798585 [0.884036,0.897213] precision 0.8743586539631745 [0.874247,0.874564] precision 0.8747754147578358 [0.880153,0.864865] precision 0.884622621957145 [0.893716,0.867863] precision 0.8787541789203273 [0.881369,0.873935] predictive_accuracy 0.8811777076761304 predictive_accuracy 0.8796004206098843 predictive_accuracy 0.8796004206098843 predictive_accuracy 0.8932702418506835 predictive_accuracy 0.8801261829652997 predictive_accuracy 0.88801261829653 predictive_accuracy 0.8743427970557307 predictive_accuracy 0.8753943217665615 predictive_accuracy 0.8853838065194531 predictive_accuracy 0.879074658254469 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 0.42734326461392824 relative_absolute_error 0.4200309567826316 relative_absolute_error 0.42806179710243086 relative_absolute_error 0.4203599822381961 relative_absolute_error 0.4291686447475896 relative_absolute_error 0.4234729912402075 relative_absolute_error 0.43469135331041764 relative_absolute_error 0.4292954710402649 relative_absolute_error 0.4139610192896191 relative_absolute_error 0.43012560677413403 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 0.29973437241382467 root_mean_squared_error 0.29649530134961277 root_mean_squared_error 0.2988179481572426 root_mean_squared_error 0.2931346413869789 root_mean_squared_error 0.30226389052663705 root_mean_squared_error 0.29263685717755944 root_mean_squared_error 0.30425098942093426 root_mean_squared_error 0.30273377614972513 root_mean_squared_error 0.29180896333572554 root_mean_squared_error 0.30445034162445467 root_relative_squared_error 0.6279153056261415 root_relative_squared_error 0.6211297565386269 root_relative_squared_error 0.625781308605607 root_relative_squared_error 0.6138793891598874 root_relative_squared_error 0.6329977637703563 root_relative_squared_error 0.6128369348632338 root_relative_squared_error 0.6371591247397039 root_relative_squared_error 0.6339817931498644 root_relative_squared_error 0.6111031685519253 root_relative_squared_error 0.6375766059638464 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 0.8555571191490601 [0.941653,0.769461] unweighted_recall 0.8588046758994168 [0.928687,0.788922] unweighted_recall 0.8490193083332425 [0.952149,0.745889] unweighted_recall 0.8735793336461073 [0.939984,0.807175] unweighted_recall 0.8514760382457021 [0.948094,0.754858] unweighted_recall 0.8609774548205369 [0.952149,0.769806] unweighted_recall 0.8459897657468931 [0.941606,0.750374] unweighted_recall 0.850219487269011 [0.935118,0.765321] unweighted_recall 0.864761655374074 [0.934307,0.795217] unweighted_recall 0.8533999614487978 [0.939984,0.766816] usercpu_time_millis 6892.312125 usercpu_time_millis 6870.269104999998 usercpu_time_millis 6825.830069000002 usercpu_time_millis 6784.429948999996 usercpu_time_millis 6868.538472999994 usercpu_time_millis 7553.941010999999 usercpu_time_millis 6821.822020999995 usercpu_time_millis 6933.785427000004 usercpu_time_millis 6870.7364799999905 usercpu_time_millis 6921.081181000005 usercpu_time_millis_testing 57.646854999999775 usercpu_time_millis_testing 57.188488999997844 usercpu_time_millis_testing 59.904273000000785 usercpu_time_millis_testing 60.53959199999781 usercpu_time_millis_testing 65.98610699999341 usercpu_time_millis_testing 58.60792400000037 usercpu_time_millis_testing 57.28881299999955 usercpu_time_millis_testing 58.91874200000302 usercpu_time_millis_testing 63.3491739999954 usercpu_time_millis_testing 58.205587000003334 usercpu_time_millis_training 6834.66527 usercpu_time_millis_training 6813.080616 usercpu_time_millis_training 6765.925796000001 usercpu_time_millis_training 6723.890356999998 usercpu_time_millis_training 6802.552366000001 usercpu_time_millis_training 7495.333086999999 usercpu_time_millis_training 6764.533207999996 usercpu_time_millis_training 6874.866685000001 usercpu_time_millis_training 6807.387305999995 usercpu_time_millis_training 6862.875594000002 wall_clock_time_millis 6934.1325759887695 wall_clock_time_millis 6861.666440963745 wall_clock_time_millis 6810.722589492798 wall_clock_time_millis 6769.787549972534 wall_clock_time_millis 6855.565309524536 wall_clock_time_millis 7603.299140930176 wall_clock_time_millis 6798.439502716064 wall_clock_time_millis 7444.6117877960205 wall_clock_time_millis 6860.020875930786 wall_clock_time_millis 6895.217418670654 wall_clock_time_millis_testing 57.524681091308594 wall_clock_time_millis_testing 57.082414627075195 wall_clock_time_millis_testing 60.02092361450195 wall_clock_time_millis_testing 60.59527397155762 wall_clock_time_millis_testing 63.00091743469238 wall_clock_time_millis_testing 58.37821960449219 wall_clock_time_millis_testing 57.1596622467041 wall_clock_time_millis_testing 59.226274490356445 wall_clock_time_millis_testing 61.11502647399902 wall_clock_time_millis_testing 58.22038650512695 wall_clock_time_millis_training 6876.607894897461 wall_clock_time_millis_training 6804.58402633667 wall_clock_time_millis_training 6750.701665878296 wall_clock_time_millis_training 6709.192276000977 wall_clock_time_millis_training 6792.564392089844 wall_clock_time_millis_training 7544.920921325684 wall_clock_time_millis_training 6741.27984046936 wall_clock_time_millis_training 7385.385513305664 wall_clock_time_millis_training 6798.905849456787 wall_clock_time_millis_training 6836.997032165527 weighted_recall 0.8811777076761304 [0.941653,0.769461] weighted_recall 0.8796004206098843 [0.928687,0.788922] weighted_recall 0.8796004206098843 [0.952149,0.745889] weighted_recall 0.8932702418506835 [0.939984,0.807175] weighted_recall 0.8801261829652997 [0.948094,0.754858] weighted_recall 0.88801261829653 [0.952149,0.769806] weighted_recall 0.8743427970557308 [0.941606,0.750374] weighted_recall 0.8753943217665615 [0.935118,0.765321] weighted_recall 0.8853838065194533 [0.934307,0.795217] weighted_recall 0.879074658254469 [0.939984,0.766816]