10590896 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19170 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8304380 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 19170 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"}}] 19170 verbose false 19170 ccp_alpha 0.0 19171 criterion "friedman_mse" 19171 init null 19171 learning_rate 0.1 19171 loss "deviance" 19171 max_depth 3 19171 max_features null 19171 max_leaf_nodes null 19171 min_impurity_decrease 0.0 19171 min_samples_leaf 1 19171 min_samples_split 2 19171 min_weight_fraction_leaf 0.0 19171 n_estimators 100 19171 n_iter_no_change null 19171 random_state 37957 19171 subsample 1.0 19171 tol 0.0001 19171 validation_fraction 0.1 19171 verbose 0 19171 warm_start false 19171 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22109388 description https://api.openml.org/data/download/22109388/description.xml -1 22109389 predictions https://api.openml.org/data/download/22109389/predictions.arff area_under_roc_curve 0.9242798571654715 [0.92428,0.92428] average_cost 0 f_measure 0.8687028363766075 [0.905784,0.800328] kappa 0.707407294438868 kb_relative_information_score 0.5666610060986164 mean_absolute_error 0.21023858006694454 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8719768664563617 [0.949157,0.729665] number_of_instances 19020 [12332,6688] precision 0.8732151151998723 [0.866203,0.886145] predictive_accuracy 0.8719768664563616 prior_entropy 0.9355152453166837 relative_absolute_error 0.46107253676240134 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.3102883163941395 root_relative_squared_error 0.6498468903355874 total_cost 0 unweighted_recall 0.8394108686779018 [0.949157,0.729665] area_under_roc_curve 0.9312008074612526 [0.931201,0.931201] area_under_roc_curve 0.9338090431778259 [0.933809,0.933809] area_under_roc_curve 0.9255010140905856 [0.925501,0.925501] area_under_roc_curve 0.925323411854131 [0.925323,0.925323] area_under_roc_curve 0.921775004030904 [0.921775,0.921775] area_under_roc_curve 0.9290785171607404 [0.929079,0.929079] area_under_roc_curve 0.9132313060007734 [0.913231,0.913231] area_under_roc_curve 0.9234904112976844 [0.92349,0.92349] area_under_roc_curve 0.9295785917173107 [0.929579,0.929579] area_under_roc_curve 0.9105545432834229 [0.910555,0.910555] 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 0.8739489323645727 [0.909373,0.808511] f_measure 0.8754329102594214 [0.908663,0.814046] f_measure 0.8637168184509333 [0.904726,0.788136] f_measure 0.8692848461035165 [0.904613,0.804173] f_measure 0.86751781060607 [0.905588,0.797353] f_measure 0.8661472957603679 [0.905109,0.794338] f_measure 0.8606517478354799 [0.901344,0.785655] f_measure 0.8687732313338223 [0.905206,0.801626] f_measure 0.872947782860659 [0.908456,0.807504] f_measure 0.8682023727076496 [0.904854,0.800651] kappa 0.7190404646171327 kappa 0.7233058990563457 kappa 0.6953176961788804 kappa 0.7095576224789815 kappa 0.7045081858061965 kappa 0.7012412193176919 kappa 0.6889225752501975 kappa 0.7079080235794372 kappa 0.7170830954010687 kappa 0.7066067779066386 kb_relative_information_score 0.5754067674036066 kb_relative_information_score 0.5781437521768897 kb_relative_information_score 0.5642957128798906 kb_relative_information_score 0.5714618595565741 kb_relative_information_score 0.5664884377831655 kb_relative_information_score 0.5658086057233512 kb_relative_information_score 0.5498200354315791 kb_relative_information_score 0.5606566997440621 kb_relative_information_score 0.5765027856861089 kb_relative_information_score 0.5580354381243543 mean_absolute_error 0.20675874547330964 mean_absolute_error 0.20515201257988874 mean_absolute_error 0.21132373663306317 mean_absolute_error 0.20802716048268424 mean_absolute_error 0.21048386332735597 mean_absolute_error 0.21116538654964137 mean_absolute_error 0.21731584075556926 mean_absolute_error 0.2119726918259969 mean_absolute_error 0.20634384697570066 mean_absolute_error 0.21384251606624133 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 0.8782169101651133 [0.87092,0.891697] precision 0.8771379881588773 [0.88003,0.871795] precision 0.8732643148574415 [0.853343,0.90998] precision 0.871475843694622 [0.873208,0.868284] precision 0.8732155090372964 [0.862702,0.892593] precision 0.8727846825265055 [0.859854,0.896617] precision 0.8672903164343785 [0.855685,0.888679] precision 0.8722836948230211 [0.868755,0.878788] precision 0.876983403246782 [0.870632,0.888689] precision 0.8717879020705209 [0.868107,0.878571] predictive_accuracy 0.8769716088328076 predictive_accuracy 0.8774973711882229 predictive_accuracy 0.8685594111461619 predictive_accuracy 0.8717139852786541 predictive_accuracy 0.8711882229232387 predictive_accuracy 0.8701366982124079 predictive_accuracy 0.8648790746582544 predictive_accuracy 0.8717139852786541 predictive_accuracy 0.8759200841219769 predictive_accuracy 0.8711882229232387 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 0.45356507811411134 relative_absolute_error 0.45004040045830196 relative_absolute_error 0.4634206758873377 relative_absolute_error 0.4561914759306129 relative_absolute_error 0.46157888252710394 relative_absolute_error 0.46307342335501306 relative_absolute_error 0.47656101206860035 relative_absolute_error 0.4648437969191797 relative_absolute_error 0.4525000672154096 relative_absolute_error 0.4689442128355856 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 0.3049364101628999 root_mean_squared_error 0.3028010420301875 root_mean_squared_error 0.3117548862962802 root_mean_squared_error 0.3079354921227221 root_mean_squared_error 0.31088032764082474 root_mean_squared_error 0.309561658839432 root_mean_squared_error 0.31955485520060534 root_mean_squared_error 0.3136285975591294 root_mean_squared_error 0.30454259067770284 root_mean_squared_error 0.31685791801321345 root_relative_squared_error 0.6388130852060542 root_relative_squared_error 0.6343396899031449 root_relative_squared_error 0.652873704252928 root_relative_squared_error 0.6448751703671652 root_relative_squared_error 0.651042212994661 root_relative_squared_error 0.6482806710817948 root_relative_squared_error 0.6692083146005742 root_relative_squared_error 0.6567976100733304 root_relative_squared_error 0.6377697929314139 root_relative_squared_error 0.6635604179706663 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 0.8454492958976698 [0.951378,0.739521] unweighted_recall 0.8513475480157998 [0.939222,0.763473] unweighted_recall 0.8288799421004587 [0.962693,0.695067] unweighted_recall 0.8436203215752167 [0.938362,0.748879] unweighted_recall 0.8367192926945473 [0.95296,0.720478] unweighted_recall 0.834198916929433 [0.955393,0.713004] unweighted_recall 0.8280925519804772 [0.952149,0.704036] unweighted_recall 0.8408853683640106 [0.94485,0.736921] unweighted_recall 0.8448132266992534 [0.949716,0.73991] unweighted_recall 0.8401379842085548 [0.94485,0.735426] usercpu_time_millis 6953.125 usercpu_time_millis 6828.125 usercpu_time_millis 6734.375 usercpu_time_millis 6750 usercpu_time_millis 6875 usercpu_time_millis 6828.125 usercpu_time_millis 7515.625 usercpu_time_millis 6718.75 usercpu_time_millis 7328.125 usercpu_time_millis 8234.375 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 6937.5 usercpu_time_millis_training 6828.125 usercpu_time_millis_training 6734.375 usercpu_time_millis_training 6750 usercpu_time_millis_training 6875 usercpu_time_millis_training 6812.5 usercpu_time_millis_training 7500 usercpu_time_millis_training 6703.125 usercpu_time_millis_training 7312.5 usercpu_time_millis_training 8218.75 wall_clock_time_millis 7040.940999984741 wall_clock_time_millis 6947.038173675537 wall_clock_time_millis 6808.075428009033 wall_clock_time_millis 6839.078664779663 wall_clock_time_millis 7081.940412521362 wall_clock_time_millis 6949.040412902832 wall_clock_time_millis 8307.259559631348 wall_clock_time_millis 6831.0840129852295 wall_clock_time_millis 7405.057430267334 wall_clock_time_millis 12259.148359298706 wall_clock_time_millis_testing 5.9947967529296875 wall_clock_time_millis_testing 5.995035171508789 wall_clock_time_millis_testing 5.994558334350586 wall_clock_time_millis_testing 7.974386215209961 wall_clock_time_millis_testing 6.999492645263672 wall_clock_time_millis_testing 10.01739501953125 wall_clock_time_millis_testing 6.014823913574219 wall_clock_time_millis_testing 5.994558334350586 wall_clock_time_millis_testing 7.994651794433594 wall_clock_time_millis_testing 7.997751235961914 wall_clock_time_millis_training 7034.9462032318115 wall_clock_time_millis_training 6941.043138504028 wall_clock_time_millis_training 6802.080869674683 wall_clock_time_millis_training 6831.104278564453 wall_clock_time_millis_training 7074.940919876099 wall_clock_time_millis_training 6939.023017883301 wall_clock_time_millis_training 8301.244735717773 wall_clock_time_millis_training 6825.089454650879 wall_clock_time_millis_training 7397.0627784729 wall_clock_time_millis_training 12251.150608062744 weighted_recall 0.8769716088328076 [0.951378,0.739521] weighted_recall 0.8774973711882229 [0.939222,0.763473] weighted_recall 0.868559411146162 [0.962693,0.695067] weighted_recall 0.8717139852786541 [0.938362,0.748879] weighted_recall 0.8711882229232387 [0.95296,0.720478] weighted_recall 0.870136698212408 [0.955393,0.713004] weighted_recall 0.8648790746582544 [0.952149,0.704036] weighted_recall 0.8717139852786541 [0.94485,0.736921] weighted_recall 0.8759200841219769 [0.949716,0.73991] weighted_recall 0.8711882229232387 [0.94485,0.735426]