10591352 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19167 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.RandomForestClassifier)(1) 8304105 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 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 0 19095 verbose 0 19095 warm_start false 19095 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 19167 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"}}] 19167 verbose false 19167 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22110310 description https://api.openml.org/data/download/22110310/description.xml -1 22110311 predictions https://api.openml.org/data/download/22110311/predictions.arff area_under_roc_curve 0.937303374094238 [0.937303,0.937303] average_cost 0 f_measure 0.87971427712826 [0.911534,0.821043] kappa 0.7330988475374406 kb_relative_information_score 0.5984381747598327 mean_absolute_error 0.1938406940063171 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8815983175604627 [0.940804,0.772428] number_of_instances 19020 [12332,6688] precision 0.8812717731379981 [0.884029,0.876187] predictive_accuracy 0.8815983175604627 prior_entropy 0.9355152453166837 relative_absolute_error 0.42511046490524346 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.2984864994031942 root_relative_squared_error 0.6251299620251654 total_cost 0 unweighted_recall 0.8566163204763892 [0.940804,0.772428] area_under_roc_curve 0.9362377352264677 [0.936238,0.936238] area_under_roc_curve 0.9409677403701511 [0.940968,0.940968] area_under_roc_curve 0.9372645861140508 [0.937265,0.937265] area_under_roc_curve 0.9447093324216823 [0.944709,0.944709] area_under_roc_curve 0.9317995288994602 [0.9318,0.9318] area_under_roc_curve 0.9419277055851963 [0.941928,0.941928] area_under_roc_curve 0.9319031807166401 [0.931903,0.931903] area_under_roc_curve 0.9347102658941879 [0.93471,0.93471] area_under_roc_curve 0.943020595797919 [0.943021,0.943021] area_under_roc_curve 0.9311248828613236 [0.931125,0.931125] 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 0.8744217412431987 [0.907807,0.812749] f_measure 0.8845562891256868 [0.914195,0.829804] f_measure 0.8807239145740632 [0.913619,0.820097] f_measure 0.8917283910083251 [0.918919,0.841615] f_measure 0.8752073952489955 [0.908878,0.813152] f_measure 0.8837768445022833 [0.915135,0.825982] f_measure 0.8690962623749683 [0.904836,0.803226] f_measure 0.8794303993980745 [0.911024,0.821203] f_measure 0.8828389860191311 [0.913112,0.827044] f_measure 0.8751062430332724 [0.907946,0.81458] kappa 0.7211279416113773 kappa 0.7442943365272742 kappa 0.7346209975752592 kappa 0.7607184219581956 kappa 0.7227491976501942 kappa 0.7417878793566188 kappa 0.7089412110014413 kappa 0.7326820968421994 kappa 0.7405071533552865 kappa 0.7230252226350279 kb_relative_information_score 0.5966696628057032 kb_relative_information_score 0.6056027690354968 kb_relative_information_score 0.5944194363220968 kb_relative_information_score 0.6091502512771008 kb_relative_information_score 0.594818879085826 kb_relative_information_score 0.6000801883234304 kb_relative_information_score 0.5872351126031079 kb_relative_information_score 0.5959498743943415 kb_relative_information_score 0.6095669906225082 kb_relative_information_score 0.5908912596345793 mean_absolute_error 0.19430599369085144 mean_absolute_error 0.18985278654048343 mean_absolute_error 0.1957150368033648 mean_absolute_error 0.1901472134595158 mean_absolute_error 0.19514721345951624 mean_absolute_error 0.19464773922187142 mean_absolute_error 0.1981282860147208 mean_absolute_error 0.1943007360672974 mean_absolute_error 0.18917981072555198 mean_absolute_error 0.19698212407991567 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 0.8759763966584889 [0.879848,0.868825] precision 0.8852307781810586 [0.892664,0.871499] precision 0.8842370953705511 [0.878085,0.895575] precision 0.8920765658684839 [0.901013,0.875606] precision 0.8774743640355266 [0.877644,0.877163] precision 0.886259677720246 [0.883686,0.891003] precision 0.8717463915672997 [0.871525,0.872154] precision 0.8806733073636821 [0.885233,0.872269] precision 0.8837212030589023 [0.889915,0.872305] precision 0.8763798353578548 [0.881589,0.866779] predictive_accuracy 0.8764458464773922 predictive_accuracy 0.8859095688748685 predictive_accuracy 0.8832807570977919 predictive_accuracy 0.8927444794952681 predictive_accuracy 0.8774973711882229 predictive_accuracy 0.8859095688748685 predictive_accuracy 0.8717139852786541 predictive_accuracy 0.8811777076761304 predictive_accuracy 0.8843322818086224 predictive_accuracy 0.8769716088328076 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 0.4262475718000898 relative_absolute_error 0.41647860534408226 relative_absolute_error 0.4291917040735312 relative_absolute_error 0.4169817909878655 relative_absolute_error 0.4279465004727269 relative_absolute_error 0.4268511824905374 relative_absolute_error 0.43448381937694863 relative_absolute_error 0.42609022473449054 relative_absolute_error 0.4148603330013109 relative_absolute_error 0.4319703528493998 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 0.29890414994063796 root_mean_squared_error 0.29467353480345826 root_mean_squared_error 0.29894618628161845 root_mean_squared_error 0.29071741277472746 root_mean_squared_error 0.30317484101938524 root_mean_squared_error 0.2947789633335032 root_mean_squared_error 0.3049905619887414 root_mean_squared_error 0.3017544213589492 root_mean_squared_error 0.2920191500857855 root_mean_squared_error 0.3045004182786314 root_relative_squared_error 0.6261760676675767 root_relative_squared_error 0.6173133270500903 root_relative_squared_error 0.6260498634959002 root_relative_squared_error 0.6088172551967104 root_relative_squared_error 0.6349054664198871 root_relative_squared_error 0.6173229103600376 root_relative_squared_error 0.6387079295961232 root_relative_squared_error 0.6319308389607323 root_relative_squared_error 0.611543339366012 root_relative_squared_error 0.6376814759503199 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 0.8505371752443249 [0.937601,0.763473] unweighted_recall 0.864353545744815 [0.936791,0.791916] unweighted_recall 0.8542509974214337 [0.952149,0.756353] unweighted_recall 0.8738575569448537 [0.937551,0.810164] unweighted_recall 0.8501322015282278 [0.942417,0.757848] unweighted_recall 0.8593553948043162 [0.948905,0.769806] unweighted_recall 0.8425947141210144 [0.940795,0.744395] unweighted_recall 0.857073236373423 [0.938362,0.775785] unweighted_recall 0.8618994104575591 [0.937551,0.786248] unweighted_recall 0.852119770583978 [0.935929,0.768311] usercpu_time_millis 6937.5 usercpu_time_millis 7000 usercpu_time_millis 8500 usercpu_time_millis 7218.75 usercpu_time_millis 7265.625 usercpu_time_millis 7453.125 usercpu_time_millis 6984.375 usercpu_time_millis 6953.125 usercpu_time_millis 6984.375 usercpu_time_millis 6890.625 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 62.5 usercpu_time_millis_training 6859.375 usercpu_time_millis_training 6921.875 usercpu_time_millis_training 8406.25 usercpu_time_millis_training 7140.625 usercpu_time_millis_training 7171.875 usercpu_time_millis_training 7390.625 usercpu_time_millis_training 6906.25 usercpu_time_millis_training 6875 usercpu_time_millis_training 6921.875 usercpu_time_millis_training 6828.125 wall_clock_time_millis 6997.007608413696 wall_clock_time_millis 7056.957721710205 wall_clock_time_millis 8561.089754104614 wall_clock_time_millis 7283.823013305664 wall_clock_time_millis 7313.809633255005 wall_clock_time_millis 7530.6830406188965 wall_clock_time_millis 7088.93609046936 wall_clock_time_millis 6980.000734329224 wall_clock_time_millis 7112.926483154297 wall_clock_time_millis 6999.985933303833 wall_clock_time_millis_testing 68.98355484008789 wall_clock_time_millis_testing 70.96219062805176 wall_clock_time_millis_testing 96.94504737854004 wall_clock_time_millis_testing 66.9395923614502 wall_clock_time_millis_testing 109.93647575378418 wall_clock_time_millis_testing 65.96159934997559 wall_clock_time_millis_testing 66.96224212646484 wall_clock_time_millis_testing 67.9636001586914 wall_clock_time_millis_testing 69.9625015258789 wall_clock_time_millis_testing 64.96620178222656 wall_clock_time_millis_training 6928.024053573608 wall_clock_time_millis_training 6985.995531082153 wall_clock_time_millis_training 8464.144706726074 wall_clock_time_millis_training 7216.883420944214 wall_clock_time_millis_training 7203.873157501221 wall_clock_time_millis_training 7464.721441268921 wall_clock_time_millis_training 7021.9738483428955 wall_clock_time_millis_training 6912.037134170532 wall_clock_time_millis_training 7042.963981628418 wall_clock_time_millis_training 6935.019731521606 weighted_recall 0.8764458464773922 [0.937601,0.763473] weighted_recall 0.8859095688748686 [0.936791,0.791916] weighted_recall 0.8832807570977917 [0.952149,0.756353] weighted_recall 0.8927444794952681 [0.937551,0.810164] weighted_recall 0.8774973711882229 [0.942417,0.757848] weighted_recall 0.8859095688748686 [0.948905,0.769806] weighted_recall 0.8717139852786541 [0.940795,0.744395] weighted_recall 0.8811777076761304 [0.938362,0.775785] weighted_recall 0.8843322818086226 [0.937551,0.786248] weighted_recall 0.8769716088328076 [0.935929,0.768311]