10591283 32117 VAIBHAV JAISWAL 37 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304108 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 19172 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"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 0 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22110172 description https://api.openml.org/data/download/22110172/description.xml -1 22110173 predictions https://api.openml.org/data/download/22110173/predictions.arff area_under_roc_curve 0.8191529850746267 [0.819153,0.819153] average_cost 0 f_measure 0.7526221356475874 [0.823642,0.620123] kappa 0.4463667820069204 kb_relative_information_score 0.2842473328836026 mean_absolute_error 0.3308593749999999 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7591145833333334 [0.864,0.563433] number_of_instances 768 [500,268] precision 0.7529010560920227 [0.786885,0.689498] predictive_accuracy 0.7591145833333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.7279772889629745 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4036642065710891 root_relative_squared_error 0.8468937257743652 total_cost 0 unweighted_recall 0.7137164179104478 [0.864,0.563433] area_under_roc_curve 0.8896296296296295 [0.88963,0.88963] area_under_roc_curve 0.7518518518518519 [0.751852,0.751852] area_under_roc_curve 0.8248148148148149 [0.824815,0.824815] area_under_roc_curve 0.8155555555555556 [0.815556,0.815556] area_under_roc_curve 0.7796296296296296 [0.77963,0.77963] area_under_roc_curve 0.8255555555555556 [0.825556,0.825556] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.8596296296296295 [0.85963,0.85963] area_under_roc_curve 0.8242307692307692 [0.824231,0.824231] area_under_roc_curve 0.7634615384615383 [0.763462,0.763462] 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 0.7613786213786213 [0.826923,0.64] f_measure 0.7045148247978437 [0.792453,0.541667] f_measure 0.7378112083994437 [0.803922,0.615385] f_measure 0.7170686456400742 [0.821429,0.52381] f_measure 0.6705036824968293 [0.757282,0.509804] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.8119639794168095 [0.867925,0.708333] f_measure 0.8241188121880109 [0.878505,0.723404] f_measure 0.7817019990501274 [0.849057,0.652174] f_measure 0.7607430340557275 [0.823529,0.64] kappa 0.468558282208589 kappa 0.33879781420765026 kappa 0.41974378296910325 kappa 0.36468646864686466 kappa 0.26833903458760927 kappa 0.4534927157265597 kappa 0.5792349726775957 kappa 0.6057502953918867 kappa 0.5048859934853421 kappa 0.4639498432601882 kb_relative_information_score 0.3701173843312457 kb_relative_information_score 0.2088037830868487 kb_relative_information_score 0.2933548446164634 kb_relative_information_score 0.27078098816424306 kb_relative_information_score 0.21957626210768474 kb_relative_information_score 0.25011514504654053 kb_relative_information_score 0.33935865705087664 kb_relative_information_score 0.35020689286182877 kb_relative_information_score 0.29350168405576194 kb_relative_information_score 0.24604745033842326 mean_absolute_error 0.29701298701298706 mean_absolute_error 0.3605194805194805 mean_absolute_error 0.327012987012987 mean_absolute_error 0.33571428571428574 mean_absolute_error 0.3522077922077923 mean_absolute_error 0.34857142857142864 mean_absolute_error 0.31038961038961044 mean_absolute_error 0.3075324675324674 mean_absolute_error 0.32592105263157906 mean_absolute_error 0.3438157894736842 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.7610055001359349 [0.796296,0.695652] precision 0.7040816326530612 [0.75,0.619048] precision 0.7364035964035964 [0.788462,0.64] precision 0.7389191453707582 [0.741935,0.733333] precision 0.6677591276647881 [0.735849,0.541667] precision 0.7512977218859571 [0.803922,0.653846] precision 0.8172541743970315 [0.821429,0.809524] precision 0.8334814308498518 [0.824561,0.85] precision 0.7852443609022557 [0.803571,0.75] precision 0.75944669365722 [0.807692,0.666667] predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7894736842105263 predictive_accuracy 0.763157894736842 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.6527745857582379 relative_absolute_error 0.7923490380694657 relative_absolute_error 0.7187085294880814 relative_absolute_error 0.7378322274530147 relative_absolute_error 0.7740816250880371 relative_absolute_error 0.7660896319086621 relative_absolute_error 0.6821737035252243 relative_absolute_error 0.6758942803128579 relative_absolute_error 0.7203844991690578 relative_absolute_error 0.7599373017072053 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.36822670882339475 root_mean_squared_error 0.4423667162980413 root_mean_squared_error 0.40131925303571325 root_mean_squared_error 0.4090168764180828 root_mean_squared_error 0.4166128103722133 root_mean_squared_error 0.4036714621454549 root_mean_squared_error 0.3850316229212228 root_mean_squared_error 0.3846266531815786 root_mean_squared_error 0.3959847817384162 root_mean_squared_error 0.4248018113748674 root_relative_squared_error 0.7716804870815466 root_relative_squared_error 0.9270532390013548 root_relative_squared_error 0.8410314331824642 root_relative_squared_error 0.8571630869130094 root_relative_squared_error 0.8730816334852897 root_relative_squared_error 0.8459608797109986 root_relative_squared_error 0.806897987565997 root_relative_squared_error 0.8060493059292401 root_relative_squared_error 0.8345834529868793 root_relative_squared_error 0.8953186559743063 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 0.7262962962962962 [0.86,0.592593] unweighted_recall 0.6607407407407407 [0.84,0.481481] unweighted_recall 0.7062962962962962 [0.82,0.592593] unweighted_recall 0.6637037037037037 [0.92,0.407407] unweighted_recall 0.6307407407407407 [0.78,0.481481] unweighted_recall 0.7248148148148148 [0.82,0.62963] unweighted_recall 0.7748148148148148 [0.92,0.62963] unweighted_recall 0.7848148148148149 [0.94,0.62963] unweighted_recall 0.7384615384615385 [0.9,0.576923] unweighted_recall 0.7276923076923076 [0.84,0.615385] usercpu_time_millis 265.625 usercpu_time_millis 203.125 usercpu_time_millis 218.75 usercpu_time_millis 203.125 usercpu_time_millis 218.75 usercpu_time_millis 203.125 usercpu_time_millis 218.75 usercpu_time_millis 218.75 usercpu_time_millis 203.125 usercpu_time_millis 203.125 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 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 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 234.375 usercpu_time_millis_training 187.5 usercpu_time_millis_training 203.125 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 wall_clock_time_millis 258.82887840270996 wall_clock_time_millis 211.87877655029297 wall_clock_time_millis 221.87328338623047 wall_clock_time_millis 207.88335800170898 wall_clock_time_millis 209.8991870880127 wall_clock_time_millis 209.9013328552246 wall_clock_time_millis 218.8739776611328 wall_clock_time_millis 215.8966064453125 wall_clock_time_millis 214.8764133453369 wall_clock_time_millis 201.88450813293457 wall_clock_time_millis_testing 31.9821834564209 wall_clock_time_millis_testing 17.992019653320312 wall_clock_time_millis_testing 17.989158630371094 wall_clock_time_millis_testing 16.992807388305664 wall_clock_time_millis_testing 20.98870277404785 wall_clock_time_millis_testing 19.98734474182129 wall_clock_time_millis_testing 21.986722946166992 wall_clock_time_millis_testing 21.005868911743164 wall_clock_time_millis_testing 16.99233055114746 wall_clock_time_millis_testing 16.994237899780273 wall_clock_time_millis_training 226.84669494628906 wall_clock_time_millis_training 193.88675689697266 wall_clock_time_millis_training 203.88412475585938 wall_clock_time_millis_training 190.89055061340332 wall_clock_time_millis_training 188.91048431396484 wall_clock_time_millis_training 189.91398811340332 wall_clock_time_millis_training 196.88725471496582 wall_clock_time_millis_training 194.89073753356934 wall_clock_time_millis_training 197.88408279418945 wall_clock_time_millis_training 184.8902702331543 weighted_recall 0.7662337662337663 [0.86,0.592593] weighted_recall 0.7142857142857143 [0.84,0.481481] weighted_recall 0.7402597402597403 [0.82,0.592593] weighted_recall 0.7402597402597403 [0.92,0.407407] weighted_recall 0.6753246753246753 [0.78,0.481481] weighted_recall 0.7532467532467533 [0.82,0.62963] weighted_recall 0.8181818181818182 [0.92,0.62963] weighted_recall 0.8311688311688312 [0.94,0.62963] weighted_recall 0.7894736842105263 [0.9,0.576923] weighted_recall 0.7631578947368421 [0.84,0.615385]