10557859 8323 Heinrich Peters 37 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275575 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 0.01 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22040678 description https://api.openml.org/data/download/22040678/description.xml -1 22040679 predictions https://api.openml.org/data/download/22040679/predictions.arff area_under_roc_curve 0.8280223880597015 [0.828022,0.828022] average_cost 0 f_measure 0.7461403264836172 [0.834846,0.580645] kappa 0.4279353022067973 kb_relative_information_score 0.2256381870294204 mean_absolute_error 0.3633210942977752 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7630208333333334 [0.92,0.470149] number_of_instances 768 [500,268] precision 0.7623456867336454 [0.76412,0.759036] predictive_accuracy 0.7630208333333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.7994015743091931 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.408951966541781 root_relative_squared_error 0.8579875276762465 total_cost 0 unweighted_recall 0.6950746268656717 [0.92,0.470149] area_under_roc_curve 0.914074074074074 [0.914074,0.914074] area_under_roc_curve 0.731851851851852 [0.731852,0.731852] area_under_roc_curve 0.8614814814814816 [0.861481,0.861481] area_under_roc_curve 0.8059259259259259 [0.805926,0.805926] area_under_roc_curve 0.7955555555555556 [0.795556,0.795556] area_under_roc_curve 0.8962962962962963 [0.896296,0.896296] area_under_roc_curve 0.8081481481481482 [0.808148,0.808148] area_under_roc_curve 0.8614814814814816 [0.861481,0.861481] area_under_roc_curve 0.8446153846153847 [0.844615,0.844615] area_under_roc_curve 0.7884615384615384 [0.788462,0.788462] 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 0.7851016907620681 [0.849057,0.666667] f_measure 0.6948051948051948 [0.8,0.5] f_measure 0.7059025198560083 [0.810811,0.511628] f_measure 0.6738397718434016 [0.810345,0.421053] f_measure 0.7283211069094945 [0.831858,0.536585] f_measure 0.8409190809190809 [0.884615,0.76] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.7899303713257201 [0.864865,0.651163] f_measure 0.7573928228613723 [0.846847,0.585366] f_measure 0.7114661654135338 [0.821429,0.5] kappa 0.5191256830601093 kappa 0.31417004048582997 kappa 0.33919084593379656 kappa 0.27358490566037735 kappa 0.3906705539358601 kappa 0.6457055214723926 kappa 0.44912559618441983 kappa 0.5279934613812833 kappa 0.44691780821917804 kappa 0.3425605536332178 kb_relative_information_score 0.29705313589629195 kb_relative_information_score 0.1447441224950237 kb_relative_information_score 0.22865195556255902 kb_relative_information_score 0.2058939548654574 kb_relative_information_score 0.2111569059356531 kb_relative_information_score 0.253835731817787 kb_relative_information_score 0.230785822380973 kb_relative_information_score 0.24740863384401485 kb_relative_information_score 0.23110503888290304 kb_relative_information_score 0.20543591262557398 mean_absolute_error 0.3385302732985699 mean_absolute_error 0.3930128272811911 mean_absolute_error 0.36341193309360864 mean_absolute_error 0.36673683799435247 mean_absolute_error 0.3702715227173746 mean_absolute_error 0.35806567347586843 mean_absolute_error 0.3617805663915449 mean_absolute_error 0.35648136645464884 mean_absolute_error 0.3573380800087135 mean_absolute_error 0.3675592011260248 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 0.788961038961039 [0.803571,0.761905] precision 0.7030812324929973 [0.733333,0.647059] precision 0.7201005961251863 [0.737705,0.6875] precision 0.7174340810704448 [0.712121,0.727273] precision 0.7599464028035458 [0.746032,0.785714] precision 0.8428174080347993 [0.851852,0.826087] precision 0.7621797440309238 [0.775862,0.736842] precision 0.8177826272088567 [0.786885,0.875] precision 0.7805867126833478 [0.770492,0.8] precision 0.7324763521707494 [0.741935,0.714286] predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.8441558441558442 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7763157894736843 predictive_accuracy 0.736842105263158 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 0.7440211996838856 relative_absolute_error 0.8637628546354965 relative_absolute_error 0.7987060649115924 relative_absolute_error 0.8060135346660166 relative_absolute_error 0.813782058120366 relative_absolute_error 0.7869560655515518 relative_absolute_error 0.7951206502337054 relative_absolute_error 0.7834740785519554 relative_absolute_error 0.7898256701204819 relative_absolute_error 0.8124174516503602 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 0.3743832988683397 root_mean_squared_error 0.4517334317504192 root_mean_squared_error 0.40661866541903313 root_mean_squared_error 0.41963390920777016 root_mean_squared_error 0.41386178865604617 root_mean_squared_error 0.38659847957052484 root_mean_squared_error 0.41169071726850714 root_mean_squared_error 0.40099664883927943 root_mean_squared_error 0.4034087605428066 root_mean_squared_error 0.4159448105483547 root_relative_squared_error 0.7845826484153219 root_relative_squared_error 0.9466827535624833 root_relative_squared_error 0.852137235752499 root_relative_squared_error 0.8794128500024004 root_relative_squared_error 0.8673164086196433 root_relative_squared_error 0.8101815970200312 root_relative_squared_error 0.8627665664010321 root_relative_squared_error 0.8403553622797477 root_relative_squared_error 0.8502303418351547 root_relative_squared_error 0.876651508463113 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 0.7462962962962962 [0.9,0.592593] unweighted_recall 0.6437037037037037 [0.88,0.407407] unweighted_recall 0.6537037037037037 [0.9,0.407407] unweighted_recall 0.6181481481481481 [0.94,0.296296] unweighted_recall 0.6737037037037037 [0.94,0.407407] unweighted_recall 0.8118518518518518 [0.92,0.703704] unweighted_recall 0.7092592592592593 [0.9,0.518519] unweighted_recall 0.7392592592592593 [0.96,0.518519] unweighted_recall 0.7007692307692308 [0.94,0.461538] unweighted_recall 0.6523076923076924 [0.92,0.384615] usercpu_time_millis 10.581999998976244 usercpu_time_millis 14.607999999498134 usercpu_time_millis 15.71799999965151 usercpu_time_millis 15.223999999761872 usercpu_time_millis 15.148000000408501 usercpu_time_millis 17.345999999633932 usercpu_time_millis 15.593999999509833 usercpu_time_millis 15.019999998912681 usercpu_time_millis 15.558000000964967 usercpu_time_millis 15.244000000166125 usercpu_time_millis_testing 1.0059999995064572 usercpu_time_millis_testing 0.9659999996074475 usercpu_time_millis_testing 1.0160000001633307 usercpu_time_millis_testing 0.9700000000520959 usercpu_time_millis_testing 1.081999999769323 usercpu_time_millis_testing 0.9979999995266553 usercpu_time_millis_testing 1.0019999999713036 usercpu_time_millis_testing 0.9759999993548263 usercpu_time_millis_testing 0.9740000004967442 usercpu_time_millis_testing 1.0099999999511056 usercpu_time_millis_training 9.575999999469786 usercpu_time_millis_training 13.641999999890686 usercpu_time_millis_training 14.70199999948818 usercpu_time_millis_training 14.253999999709777 usercpu_time_millis_training 14.066000000639178 usercpu_time_millis_training 16.348000000107277 usercpu_time_millis_training 14.59199999953853 usercpu_time_millis_training 14.043999999557855 usercpu_time_millis_training 14.584000000468222 usercpu_time_millis_training 14.234000000215019 wall_clock_time_millis 3.7941932678222656 wall_clock_time_millis 3.6787986755371094 wall_clock_time_millis 3.9687156677246094 wall_clock_time_millis 3.8297176361083984 wall_clock_time_millis 4.11224365234375 wall_clock_time_millis 4.400014877319336 wall_clock_time_millis 3.9207935333251953 wall_clock_time_millis 3.780841827392578 wall_clock_time_millis 3.91387939453125 wall_clock_time_millis 3.8542747497558594 wall_clock_time_millis_testing 0.25391578674316406 wall_clock_time_millis_testing 0.24580955505371094 wall_clock_time_millis_testing 0.2589225769042969 wall_clock_time_millis_testing 0.24771690368652344 wall_clock_time_millis_testing 0.576019287109375 wall_clock_time_millis_testing 0.25010108947753906 wall_clock_time_millis_testing 0.25177001953125 wall_clock_time_millis_testing 0.2510547637939453 wall_clock_time_millis_testing 0.25010108947753906 wall_clock_time_millis_testing 0.2560615539550781 wall_clock_time_millis_training 3.5402774810791016 wall_clock_time_millis_training 3.4329891204833984 wall_clock_time_millis_training 3.7097930908203125 wall_clock_time_millis_training 3.582000732421875 wall_clock_time_millis_training 3.536224365234375 wall_clock_time_millis_training 4.149913787841797 wall_clock_time_millis_training 3.6690235137939453 wall_clock_time_millis_training 3.529787063598633 wall_clock_time_millis_training 3.663778305053711 wall_clock_time_millis_training 3.5982131958007812 weighted_recall 0.7922077922077922 [0.9,0.592593] weighted_recall 0.7142857142857143 [0.88,0.407407] weighted_recall 0.7272727272727273 [0.9,0.407407] weighted_recall 0.7142857142857143 [0.94,0.296296] weighted_recall 0.7532467532467533 [0.94,0.407407] weighted_recall 0.8441558441558441 [0.92,0.703704] weighted_recall 0.7662337662337663 [0.9,0.518519] weighted_recall 0.8051948051948052 [0.96,0.518519] weighted_recall 0.7763157894736842 [0.94,0.461538] weighted_recall 0.7368421052631579 [0.92,0.384615]