10590874 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304382 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 19174 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"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 18499 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22109344 description https://api.openml.org/data/download/22109344/description.xml -1 22109345 predictions https://api.openml.org/data/download/22109345/predictions.arff area_under_roc_curve 0.9364637401314819 [0.936464,0.936464] average_cost 0 f_measure 0.8798461873078609 [0.912004,0.82055] kappa 0.7331718365847052 kb_relative_information_score 0.6275108866844177 mean_absolute_error 0.17873812327426084 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8819137749737119 [0.943805,0.767793] number_of_instances 19020 [12332,6688] precision 0.8818601559089367 [0.882277,0.881091] predictive_accuracy 0.8819137749737119 prior_entropy 0.9355152453166837 relative_absolute_error 0.3919891386631927 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.29632602173111144 root_relative_squared_error 0.6206052035258506 total_cost 0 unweighted_recall 0.8557988989240269 [0.943805,0.767793] area_under_roc_curve 0.9422245460456721 [0.942225,0.942225] area_under_roc_curve 0.9428214074282554 [0.942821,0.942821] area_under_roc_curve 0.9346872321570368 [0.934687,0.934687] area_under_roc_curve 0.9422762423973513 [0.942276,0.942276] area_under_roc_curve 0.9323123326265613 [0.932312,0.932312] area_under_roc_curve 0.9361710897503507 [0.936171,0.936171] area_under_roc_curve 0.9276619423259468 [0.927662,0.927662] area_under_roc_curve 0.9359904567590077 [0.93599,0.93599] area_under_roc_curve 0.9425975024155117 [0.942598,0.942598] area_under_roc_curve 0.9283602282522121 [0.92836,0.92836] 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 0.8817933814337184 [0.913435,0.823341] f_measure 0.8805974308495922 [0.911742,0.823065] f_measure 0.8800973140021261 [0.913331,0.818846] f_measure 0.8833460259463285 [0.913541,0.827695] f_measure 0.8783630600448843 [0.911293,0.817671] f_measure 0.8798841832179587 [0.912568,0.819646] f_measure 0.876425677261417 [0.910506,0.813614] f_measure 0.8756680097745352 [0.908304,0.815519] f_measure 0.886797105803415 [0.916667,0.831746] f_measure 0.8753831642129442 [0.908663,0.814046] kappa 0.737370619688425 kappa 0.7352101051333619 kappa 0.7331418152441855 kappa 0.7415962867703165 kappa 0.7296979531735388 kappa 0.7329873841352209 kappa 0.725057790280674 kappa 0.7243056410945508 kappa 0.7488893123638497 kappa 0.7233349190355435 kb_relative_information_score 0.6332429952606007 kb_relative_information_score 0.6330473448860976 kb_relative_information_score 0.6252130243112777 kb_relative_information_score 0.6347458029049544 kb_relative_information_score 0.6254956283912392 kb_relative_information_score 0.6267293982623342 kb_relative_information_score 0.612979842202543 kb_relative_information_score 0.6209888783711698 kb_relative_information_score 0.6411708827095183 kb_relative_information_score 0.6215006588559026 mean_absolute_error 0.17655220636930177 mean_absolute_error 0.1755510187709547 mean_absolute_error 0.18015055751786696 mean_absolute_error 0.1759608139030248 mean_absolute_error 0.17981742858435007 mean_absolute_error 0.17995973235592305 mean_absolute_error 0.1843865590792724 mean_absolute_error 0.181079682790527 mean_absolute_error 0.17289341568447417 mean_absolute_error 0.18102981768691198 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 0.8837778683082397 [0.884003,0.883362] precision 0.8816391831588103 [0.88727,0.871237] precision 0.8838762715604594 [0.876866,0.896797] precision 0.884285766687278 [0.89,0.873754] precision 0.880864359160715 [0.879336,0.883681] precision 0.8826682697096447 [0.879609,0.888307] precision 0.8798074745331107 [0.875093,0.888496] precision 0.8768956507647793 [0.882263,0.867003] precision 0.8884250066742486 [0.889397,0.886633] precision 0.8772258806751695 [0.879363,0.873288] predictive_accuracy 0.8838065194532072 predictive_accuracy 0.8822292323869612 predictive_accuracy 0.8827549947423765 predictive_accuracy 0.8848580441640378 predictive_accuracy 0.880651945320715 predictive_accuracy 0.8822292323869612 predictive_accuracy 0.879074658254469 predictive_accuracy 0.8774973711882229 predictive_accuracy 0.8885383806519453 predictive_accuracy 0.8774973711882229 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 0.38730122438012315 relative_absolute_error 0.38510492680532576 relative_absolute_error 0.3950597053438089 relative_absolute_error 0.3858718410332503 relative_absolute_error 0.3943291729484061 relative_absolute_error 0.39464123685118563 relative_absolute_error 0.40434901064345413 relative_absolute_error 0.3970972230817607 relative_absolute_error 0.37914521496509307 relative_absolute_error 0.39698787180684647 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 0.29088861699488533 root_mean_squared_error 0.29229926738244844 root_mean_squared_error 0.2969589413646703 root_mean_squared_error 0.29076962307645215 root_mean_squared_error 0.2991345379140292 root_mean_squared_error 0.2964576552445801 root_mean_squared_error 0.3057323023139766 root_mean_squared_error 0.3003784459477978 root_mean_squared_error 0.2868523160155111 root_mean_squared_error 0.30323614557317163 root_relative_squared_error 0.6093842803965466 root_relative_squared_error 0.6123394602182836 root_relative_squared_error 0.6218881967274997 root_relative_squared_error 0.6089265934447555 root_relative_squared_error 0.6264443074432431 root_relative_squared_error 0.6208384087674713 root_relative_squared_error 0.6402612741466551 root_relative_squared_error 0.629049286166767 root_relative_squared_error 0.6007230114513615 root_relative_squared_error 0.6350338497520412 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 0.8579263676860218 [0.944895,0.770958] unweighted_recall 0.8587707081784567 [0.937601,0.77994] unweighted_recall 0.8531617441145771 [0.95296,0.753363] unweighted_recall 0.8623049254616143 [0.938362,0.786248] unweighted_recall 0.8532490298553603 [0.945661,0.760837] unweighted_recall 0.8544655748675257 [0.948094,0.760837] unweighted_recall 0.8496394007833895 [0.948905,0.750374] unweighted_recall 0.852867154739434 [0.935929,0.769806] unweighted_recall 0.8644597921871988 [0.945661,0.783259] unweighted_recall 0.8511578089824301 [0.939984,0.762332] usercpu_time_millis 4718.75 usercpu_time_millis 4656.25 usercpu_time_millis 5921.875 usercpu_time_millis 4625 usercpu_time_millis 5046.875 usercpu_time_millis 3875 usercpu_time_millis 4156.25 usercpu_time_millis 5453.125 usercpu_time_millis 4500 usercpu_time_millis 5812.5 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 125 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 31.25 usercpu_time_millis_training 4625 usercpu_time_millis_training 4609.375 usercpu_time_millis_training 5796.875 usercpu_time_millis_training 4593.75 usercpu_time_millis_training 5015.625 usercpu_time_millis_training 3812.5 usercpu_time_millis_training 4109.375 usercpu_time_millis_training 5390.625 usercpu_time_millis_training 4406.25 usercpu_time_millis_training 5781.25 wall_clock_time_millis 1590.0850296020508 wall_clock_time_millis 1624.0694522857666 wall_clock_time_millis 1632.063388824463 wall_clock_time_millis 1626.0671615600586 wall_clock_time_millis 1621.070146560669 wall_clock_time_millis 1586.0912799835205 wall_clock_time_millis 1667.0429706573486 wall_clock_time_millis 1648.0557918548584 wall_clock_time_millis 1618.0698871612549 wall_clock_time_millis 1616.075038909912 wall_clock_time_millis_testing 20.987510681152344 wall_clock_time_millis_testing 20.98679542541504 wall_clock_time_millis_testing 19.988298416137695 wall_clock_time_millis_testing 20.98703384399414 wall_clock_time_millis_testing 24.985790252685547 wall_clock_time_millis_testing 29.982805252075195 wall_clock_time_millis_testing 19.988059997558594 wall_clock_time_millis_testing 20.98846435546875 wall_clock_time_millis_testing 19.986867904663086 wall_clock_time_millis_testing 30.98320960998535 wall_clock_time_millis_training 1569.0975189208984 wall_clock_time_millis_training 1603.0826568603516 wall_clock_time_millis_training 1612.0750904083252 wall_clock_time_millis_training 1605.0801277160645 wall_clock_time_millis_training 1596.0843563079834 wall_clock_time_millis_training 1556.1084747314453 wall_clock_time_millis_training 1647.05491065979 wall_clock_time_millis_training 1627.0673274993896 wall_clock_time_millis_training 1598.0830192565918 wall_clock_time_millis_training 1585.0918292999268 weighted_recall 0.8838065194532071 [0.944895,0.770958] weighted_recall 0.882229232386961 [0.937601,0.77994] weighted_recall 0.8827549947423764 [0.95296,0.753363] weighted_recall 0.8848580441640379 [0.938362,0.786248] weighted_recall 0.880651945320715 [0.945661,0.760837] weighted_recall 0.882229232386961 [0.948094,0.760837] weighted_recall 0.879074658254469 [0.948905,0.750374] weighted_recall 0.8774973711882229 [0.935929,0.769806] weighted_recall 0.8885383806519453 [0.945661,0.783259] weighted_recall 0.8774973711882229 [0.939984,0.762332]