10590865 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19159 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1) 8304375 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 19159 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"}}] 19159 verbose false 19159 alpha 0.0001 19160 average false 19160 class_weight null 19160 early_stopping false 19160 epsilon 0.1 19160 eta0 0.0 19160 fit_intercept true 19160 l1_ratio 0.15 19160 learning_rate "optimal" 19160 loss "hinge" 19160 max_iter 1000 19160 n_iter_no_change 5 19160 n_jobs null 19160 penalty "l2" 19160 power_t 0.5 19160 random_state 47596 19160 shuffle true 19160 tol 0.001 19160 validation_fraction 0.1 19160 verbose 0 19160 warm_start false 19160 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22109326 description https://api.openml.org/data/download/22109326/description.xml -1 22109327 predictions https://api.openml.org/data/download/22109327/predictions.arff area_under_roc_curve 0.748283970050299 [0.748284,0.748284] average_cost 0 f_measure 0.7831100863607421 [0.844014,0.670809] kappa 0.5168336891949921 kb_relative_information_score 0.517393240431906 mean_absolute_error 0.21167192429022083 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.7883280757097791 [0.883231,0.613337] number_of_instances 19020 [12332,6688] precision 0.7842329775517853 [0.808132,0.740166] predictive_accuracy 0.7883280757097793 prior_entropy 0.9355152453166837 relative_absolute_error 0.4642159924348536 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.46007817193409734 root_relative_squared_error 0.9635566456936107 total_cost 0 unweighted_recall 0.748283970050299 [0.883231,0.613337] area_under_roc_curve 0.7611401993419966 [0.76114,0.76114] area_under_roc_curve 0.7340024165607197 [0.734002,0.734002] area_under_roc_curve 0.7448055891969348 [0.744806,0.744806] area_under_roc_curve 0.7598641979349648 [0.759864,0.759864] area_under_roc_curve 0.7486934415676518 [0.748693,0.748693] area_under_roc_curve 0.7428816659938391 [0.742882,0.742882] area_under_roc_curve 0.7172232951094527 [0.717223,0.717223] area_under_roc_curve 0.7568510214250125 [0.756851,0.756851] area_under_roc_curve 0.7728079459119359 [0.772808,0.772808] area_under_roc_curve 0.7445582795980492 [0.744558,0.744558] 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 0.7927116901747395 [0.848769,0.689157] f_measure 0.7739371431828038 [0.841784,0.648603] f_measure 0.7828148684245769 [0.846743,0.664992] f_measure 0.791556080869868 [0.847987,0.68755] f_measure 0.7848414006231158 [0.846569,0.671074] f_measure 0.7827833112416135 [0.848554,0.661565] f_measure 0.7555185170079796 [0.825886,0.625828] f_measure 0.7910112857898399 [0.849612,0.683007] f_measure 0.7988067119337258 [0.849424,0.705517] f_measure 0.7757301152709163 [0.834906,0.666667] kappa 0.5391235963779759 kappa 0.4943090305940058 kappa 0.5149623407274799 kappa 0.5367951708568575 kappa 0.5201481780113871 kappa 0.5142435827837261 kappa 0.45465271619363706 kappa 0.5345345004408822 kappa 0.5552976884496512 kappa 0.5025165622302683 kb_relative_information_score 0.5359091804403165 kb_relative_information_score 0.5023315500845777 kb_relative_information_score 0.5205574922001214 kb_relative_information_score 0.5337421611646174 kb_relative_information_score 0.5229547047391203 kb_relative_information_score 0.5229547047391214 kb_relative_information_score 0.4582299661861336 kb_relative_information_score 0.5349407674341177 kb_relative_information_score 0.5457282238596133 kb_relative_information_score 0.49658536681012405 mean_absolute_error 0.20347003154574134 mean_absolute_error 0.2181913774973712 mean_absolute_error 0.2103049421661409 mean_absolute_error 0.20452155625657203 mean_absolute_error 0.2092534174553102 mean_absolute_error 0.2092534174553102 mean_absolute_error 0.23764458464773922 mean_absolute_error 0.20399579390115669 mean_absolute_error 0.19926393270241852 mean_absolute_error 0.22082018927444794 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 0.7928879697575153 [0.819623,0.743501] precision 0.777878392895318 [0.794816,0.746589] precision 0.7861913107338975 [0.802469,0.75619] precision 0.7918017253411112 [0.81825,0.743056] precision 0.7869578883176622 [0.80676,0.750462] precision 0.7880189206206223 [0.799283,0.767258] precision 0.7565319576655676 [0.7865,0.701299] precision 0.7923776136446424 [0.81366,0.753153] precision 0.7981102728936088 [0.832555,0.734628] precision 0.7751031111409793 [0.810069,0.71066] predictive_accuracy 0.7965299684542586 predictive_accuracy 0.7818086225026287 predictive_accuracy 0.7896950578338591 predictive_accuracy 0.795478443743428 predictive_accuracy 0.7907465825446899 predictive_accuracy 0.7907465825446899 predictive_accuracy 0.7623554153522608 predictive_accuracy 0.7960042060988434 predictive_accuracy 0.8007360672975815 predictive_accuracy 0.7791798107255521 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 0.446350651531875 relative_absolute_error 0.47864475551867736 relative_absolute_error 0.46118651881642053 relative_absolute_error 0.4485038895489689 relative_absolute_error 0.4588805862223385 relative_absolute_error 0.4588805862223385 relative_absolute_error 0.5211407662625551 relative_absolute_error 0.44735092325192793 relative_absolute_error 0.43697422657855856 relative_absolute_error 0.48424584475724153 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 0.4510765251548138 root_mean_squared_error 0.4671095990207985 root_mean_squared_error 0.45859016797805524 root_mean_squared_error 0.4522405955424303 root_mean_squared_error 0.4574422558698641 root_mean_squared_error 0.4574422558698641 root_mean_squared_error 0.48748803538932034 root_mean_squared_error 0.45165893537176555 root_mean_squared_error 0.4463898886650755 root_mean_squared_error 0.46991508730242737 root_relative_squared_error 0.9449628745358369 root_relative_squared_error 0.978550655595484 root_relative_squared_error 0.960374559830525 root_relative_squared_error 0.9470773540490282 root_relative_squared_error 0.9579706147339939 root_relative_squared_error 0.9579706147339939 root_relative_squared_error 1.0208921605839338 root_relative_squared_error 0.9458592476233366 root_relative_squared_error 0.9348248671132292 root_relative_squared_error 0.984091083146351 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 0.7611401993419967 [0.880065,0.642216] unweighted_recall 0.7340024165607197 [0.894652,0.573353] unweighted_recall 0.7448055891969348 [0.896188,0.593423] unweighted_recall 0.7598641979349648 [0.879968,0.639761] unweighted_recall 0.7486934415676519 [0.890511,0.606876] unweighted_recall 0.7428816659938391 [0.904298,0.581465] unweighted_recall 0.7172232951094526 [0.869424,0.565022] unweighted_recall 0.7568510214250124 [0.888889,0.624813] unweighted_recall 0.7728079459119359 [0.866991,0.678625] unweighted_recall 0.7445582795980492 [0.861314,0.627803] usercpu_time_millis 93.75 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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 15.625 usercpu_time_millis_training 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 wall_clock_time_millis 102.94842720031738 wall_clock_time_millis 115.93151092529297 wall_clock_time_millis 103.92069816589355 wall_clock_time_millis 99.92361068725586 wall_clock_time_millis 95.92127799987793 wall_clock_time_millis 83.93144607543945 wall_clock_time_millis 106.96196556091309 wall_clock_time_millis 82.92961120605469 wall_clock_time_millis 86.94744110107422 wall_clock_time_millis 84.95116233825684 wall_clock_time_millis_testing 2.9876232147216797 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 2.9790401458740234 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 2.9761791229248047 wall_clock_time_millis_training 99.9608039855957 wall_clock_time_millis_training 112.93244361877441 wall_clock_time_millis_training 100.9218692779541 wall_clock_time_millis_training 97.92351722717285 wall_clock_time_millis_training 93.92166137695312 wall_clock_time_millis_training 80.95240592956543 wall_clock_time_millis_training 103.96170616149902 wall_clock_time_millis_training 80.92999458312988 wall_clock_time_millis_training 83.94885063171387 wall_clock_time_millis_training 81.97498321533203 weighted_recall 0.7965299684542587 [0.880065,0.642216] weighted_recall 0.7818086225026288 [0.894652,0.573353] weighted_recall 0.7896950578338591 [0.896188,0.593423] weighted_recall 0.795478443743428 [0.879968,0.639761] weighted_recall 0.7907465825446898 [0.890511,0.606876] weighted_recall 0.7907465825446898 [0.904298,0.581465] weighted_recall 0.7623554153522608 [0.869424,0.565022] weighted_recall 0.7960042060988434 [0.888889,0.624813] weighted_recall 0.8007360672975815 [0.866991,0.678625] weighted_recall 0.7791798107255521 [0.861314,0.627803]