10591353 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19168 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1) 8304106 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 19168 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"}}] 19168 verbose false 19168 algorithm "SAMME.R" 19169 base_estimator null 19169 learning_rate 1.0 19169 n_estimators 50 19169 random_state 0 19169 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22110312 description https://api.openml.org/data/download/22110312/description.xml -1 22110313 predictions https://api.openml.org/data/download/22110313/predictions.arff area_under_roc_curve 0.895466280930539 [0.895466,0.895466] average_cost 0 f_measure 0.8383632257064122 [0.881247,0.75929] kappa 0.6412704344388962 kb_relative_information_score -0.1323782540926103 mean_absolute_error 0.4907197621816845 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8409568874868559 [0.910152,0.713367] number_of_instances 19020 [12332,6688] precision 0.8391454370674649 [0.854121,0.811533] predictive_accuracy 0.8409568874868559 prior_entropy 0.9355152453166837 relative_absolute_error 1.076193558368337 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.49082392741112624 root_relative_squared_error 1.0279484791340494 total_cost 0 unweighted_recall 0.8117598368968895 [0.910152,0.713367] area_under_roc_curve 0.8958865089917408 [0.895887,0.895887] area_under_roc_curve 0.9037488232610953 [0.903749,0.903749] area_under_roc_curve 0.8945824650220578 [0.894582,0.894582] area_under_roc_curve 0.8987200515955712 [0.89872,0.89872] area_under_roc_curve 0.8889707192708731 [0.888971,0.888971] area_under_roc_curve 0.9014525802028666 [0.901453,0.901453] area_under_roc_curve 0.8915565593415744 [0.891557,0.891557] area_under_roc_curve 0.8960572303507068 [0.896057,0.896057] area_under_roc_curve 0.9004233358427984 [0.900423,0.900423] area_under_roc_curve 0.8851046883353518 [0.885105,0.885105] 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 0.8377045016096798 [0.881594,0.756627] f_measure 0.8430234046393968 [0.882259,0.770543] f_measure 0.840565529254605 [0.886232,0.7564] f_measure 0.8432675594807484 [0.882983,0.77007] f_measure 0.8319116870342427 [0.876033,0.750594] f_measure 0.8482098924944608 [0.889583,0.771958] f_measure 0.8353087022622431 [0.879216,0.754386] f_measure 0.8293872505748034 [0.874951,0.745411] f_measure 0.8482119653395233 [0.88854,0.773885] f_measure 0.8258180387417782 [0.870904,0.742722] kappa 0.6391587847610508 kappa 0.6530283719588705 kappa 0.6444580470760889 kappa 0.6533772689027351 kappa 0.6272801585613026 kappa 0.6625388860258576 kappa 0.6344083605740968 kappa 0.6212181938726969 kappa 0.6631331594643238 kappa 0.6141643186022533 kb_relative_information_score -0.13292993127311947 kb_relative_information_score -0.13194162099744272 kb_relative_information_score -0.1320465467866449 kb_relative_information_score -0.13236266476713485 kb_relative_information_score -0.1323592483279273 kb_relative_information_score -0.1317016220776465 kb_relative_information_score -0.13258216972549736 kb_relative_information_score -0.13215919499491907 kb_relative_information_score -0.1331846984902594 kb_relative_information_score -0.13251490054839862 mean_absolute_error 0.49072971264428306 mean_absolute_error 0.49039206939279 mean_absolute_error 0.4906564081513762 mean_absolute_error 0.4907453965590563 mean_absolute_error 0.4907585477647903 mean_absolute_error 0.49055726990300863 mean_absolute_error 0.49083094198910004 mean_absolute_error 0.49069879007530504 mean_absolute_error 0.49102290600807724 mean_absolute_error 0.49080557932901514 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 0.8390180373228177 [0.851321,0.816291] precision 0.8427449734540727 [0.866406,0.799035] precision 0.844911156490021 [0.844853,0.845018] precision 0.8431775186220841 [0.86413,0.80456] precision 0.8322974119395558 [0.850917,0.79798] precision 0.8502030304080778 [0.857143,0.837413] precision 0.8361824856309741 [0.851177,0.808547] precision 0.8301778152067562 [0.846737,0.799658] precision 0.8492651829039374 [0.860837,0.827939] precision 0.8258068550919406 [0.848462,0.784053] predictive_accuracy 0.8406940063091483 predictive_accuracy 0.8443743427970557 predictive_accuracy 0.844900105152471 predictive_accuracy 0.844900105152471 predictive_accuracy 0.8343848580441641 predictive_accuracy 0.8512092534174553 predictive_accuracy 0.8380651945320714 predictive_accuracy 0.8322818086225027 predictive_accuracy 0.85068349106204 predictive_accuracy 0.8280757097791798 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 1.0765100162457317 relative_absolute_error 1.0757693308281084 relative_absolute_error 1.075980994452986 relative_absolute_error 1.0761761408605326 relative_absolute_error 1.0762049806905822 relative_absolute_error 1.0757635900345481 relative_absolute_error 1.0763637370181698 relative_absolute_error 1.0760739355496438 relative_absolute_error 1.0767847029580961 relative_absolute_error 1.076308118178251 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 0.49083075067897736 root_mean_squared_error 0.4905099343161709 root_mean_squared_error 0.49076269646245774 root_mean_squared_error 0.4908487940189891 root_mean_squared_error 0.4908638566679285 root_mean_squared_error 0.4906571286821452 root_mean_squared_error 0.4909361042626859 root_mean_squared_error 0.49079959051189115 root_mean_squared_error 0.4911162456595723 root_mean_squared_error 0.49091392923131766 root_relative_squared_error 1.0282442361925235 root_relative_squared_error 1.0275721561008104 root_relative_squared_error 1.0277499203143146 root_relative_squared_error 1.0279302248841242 root_relative_squared_error 1.0279617689202925 root_relative_squared_error 1.02752884141287 root_relative_squared_error 1.0281130690502536 root_relative_squared_error 1.0278271834328006 root_relative_squared_error 1.0284903192113393 root_relative_squared_error 1.028066630339883 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 0.8095951532914722 [0.9141,0.70509] unweighted_recall 0.8213576898067722 [0.898703,0.744012] unweighted_recall 0.8082386828581716 [0.931873,0.684604] unweighted_recall 0.8205459723085987 [0.902676,0.738416] unweighted_recall 0.8055982891994806 [0.902676,0.70852] unweighted_recall 0.8202841150862492 [0.924574,0.715994] unweighted_recall 0.8080950250764659 [0.909165,0.707025] unweighted_recall 0.8015831451234547 [0.905109,0.698057] unweighted_recall 0.8222716841419994 [0.918086,0.726457] unweighted_recall 0.8000483708480173 [0.894566,0.705531] usercpu_time_millis 2734.375 usercpu_time_millis 2578.125 usercpu_time_millis 2593.75 usercpu_time_millis 2578.125 usercpu_time_millis 2625 usercpu_time_millis 2531.25 usercpu_time_millis 2625 usercpu_time_millis 2609.375 usercpu_time_millis 2578.125 usercpu_time_millis 2578.125 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 2718.75 usercpu_time_millis_training 2546.875 usercpu_time_millis_training 2562.5 usercpu_time_millis_training 2562.5 usercpu_time_millis_training 2593.75 usercpu_time_millis_training 2500 usercpu_time_millis_training 2578.125 usercpu_time_millis_training 2578.125 usercpu_time_millis_training 2546.875 usercpu_time_millis_training 2562.5 wall_clock_time_millis 2776.4103412628174 wall_clock_time_millis 2587.5208377838135 wall_clock_time_millis 2589.5156860351562 wall_clock_time_millis 2578.5019397735596 wall_clock_time_millis 2635.4918479919434 wall_clock_time_millis 2577.5227546691895 wall_clock_time_millis 2636.4848613739014 wall_clock_time_millis 2633.491039276123 wall_clock_time_millis 2603.4862995147705 wall_clock_time_millis 2583.5394859313965 wall_clock_time_millis_testing 25.985240936279297 wall_clock_time_millis_testing 25.99024772644043 wall_clock_time_millis_testing 31.981229782104492 wall_clock_time_millis_testing 25.982141494750977 wall_clock_time_millis_testing 26.96514129638672 wall_clock_time_millis_testing 26.984691619873047 wall_clock_time_millis_testing 39.97611999511719 wall_clock_time_millis_testing 25.98404884338379 wall_clock_time_millis_testing 26.985883712768555 wall_clock_time_millis_testing 27.00352668762207 wall_clock_time_millis_training 2750.425100326538 wall_clock_time_millis_training 2561.530590057373 wall_clock_time_millis_training 2557.5344562530518 wall_clock_time_millis_training 2552.5197982788086 wall_clock_time_millis_training 2608.5267066955566 wall_clock_time_millis_training 2550.5380630493164 wall_clock_time_millis_training 2596.508741378784 wall_clock_time_millis_training 2607.5069904327393 wall_clock_time_millis_training 2576.500415802002 wall_clock_time_millis_training 2556.5359592437744 weighted_recall 0.8406940063091483 [0.9141,0.70509] weighted_recall 0.8443743427970557 [0.898703,0.744012] weighted_recall 0.844900105152471 [0.931873,0.684604] weighted_recall 0.844900105152471 [0.902676,0.738416] weighted_recall 0.8343848580441641 [0.902676,0.70852] weighted_recall 0.8512092534174553 [0.924574,0.715994] weighted_recall 0.8380651945320715 [0.909165,0.707025] weighted_recall 0.8322818086225027 [0.905109,0.698057] weighted_recall 0.85068349106204 [0.918086,0.726457] weighted_recall 0.8280757097791798 [0.894566,0.705531]