10362754 8323 Heinrich Peters 37 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8218226 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 8.861502249304074 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6186022571707905 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.23935215063082904 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 643 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21647210 description https://api.openml.org/data/download/21647210/description.xml -1 21647211 predictions https://api.openml.org/data/download/21647211/predictions.arff area_under_roc_curve 0.6813880597014924 [0.681388,0.681388] average_cost 0 f_measure 0.7183132904706572 [0.793404,0.578218] kappa 0.3727799760743535 kb_relative_information_score 0.3647575617103959 mean_absolute_error 0.27734375 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7164315845828666 [0.770245,0.616034] predictive_accuracy 0.72265625 prior_entropy 0.9331348051619819 recall 0.72265625 [0.818,0.544776] relative_absolute_error 0.6102288962971807 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5266343608235224 root_relative_squared_error 1.1048870043425285 total_cost 0 area_under_roc_curve 0.7448148148148148 [0.744815,0.744815] area_under_roc_curve 0.5722222222222222 [0.572222,0.572222] area_under_roc_curve 0.731851851851852 [0.731852,0.731852] area_under_roc_curve 0.6607407407407409 [0.660741,0.660741] area_under_roc_curve 0.6037037037037037 [0.603704,0.603704] area_under_roc_curve 0.6962962962962964 [0.696296,0.696296] area_under_roc_curve 0.6422222222222224 [0.642222,0.642222] area_under_roc_curve 0.7848148148148149 [0.784815,0.784815] area_under_roc_curve 0.6892307692307691 [0.689231,0.689231] area_under_roc_curve 0.6884615384615383 [0.688462,0.688462] 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 0.7759425040978439 [0.834951,0.666667] f_measure 0.6103896103896104 [0.7,0.444444] f_measure 0.7438050455291836 [0.791667,0.655172] f_measure 0.7045148247978437 [0.792453,0.541667] f_measure 0.6507902474883608 [0.754717,0.458333] f_measure 0.7260499634869146 [0.792079,0.603774] f_measure 0.688825590794173 [0.785047,0.510638] f_measure 0.8241188121880109 [0.878505,0.723404] f_measure 0.7309379217273955 [0.807692,0.583333] f_measure 0.722343132146032 [0.792079,0.588235] kappa 0.5024705435195743 kappa 0.1444444444444444 kappa 0.4484240687679083 kappa 0.33879781420765026 kappa 0.21857923497267753 kappa 0.39596563317146066 kappa 0.302481291847184 kappa 0.6057502953918867 kappa 0.39297124600638966 kappa 0.3804347826086957 kb_relative_information_score 0.49513673817720344 kb_relative_information_score 0.10906483207741707 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.2278561878004285 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.6139280939002144 kb_relative_information_score 0.3932515946311228 kb_relative_information_score 0.3629141743626787 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.38961038961038963 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2631578947368421 mean_absolute_error 0.27631578947368424 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 0.775208282283754 [0.811321,0.708333] precision 0.6103896103896104 [0.7,0.444444] precision 0.7513342197774174 [0.826087,0.612903] precision 0.7040816326530612 [0.75,0.619048] precision 0.6474953617810761 [0.714286,0.52381] precision 0.7250788427259015 [0.784314,0.615385] precision 0.6888585099111415 [0.736842,0.6] precision 0.8334814308498518 [0.824561,0.85] precision 0.7293992557150453 [0.777778,0.636364] precision 0.7212590299277606 [0.784314,0.6] predictive_accuracy 0.7792207792207791 predictive_accuracy 0.6103896103896104 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.736842105263158 predictive_accuracy 0.7236842105263157 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 recall 0.7792207792207793 [0.86,0.62963] recall 0.6103896103896104 [0.7,0.444444] recall 0.7402597402597403 [0.76,0.703704] recall 0.7142857142857143 [0.84,0.481481] recall 0.6623376623376623 [0.8,0.407407] recall 0.7272727272727273 [0.8,0.592593] recall 0.7012987012987013 [0.84,0.444444] recall 0.8311688311688312 [0.94,0.62963] recall 0.7368421052631579 [0.84,0.538462] recall 0.7236842105263158 [0.8,0.576923] relative_absolute_error 0.4852281573191972 relative_absolute_error 0.8562849835044658 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.742113652370537 relative_absolute_error 0.599399488453126 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.581658860855113 relative_absolute_error 0.6107418038978688 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 0.4698714938993648 root_mean_squared_error 0.6241877839323593 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.512989176042577 root_mean_squared_error 0.5256574830378469 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.3080896132558644 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.0811836657130123 root_relative_squared_error 1.1078835791520962 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 usercpu_time_millis 48.734009003965184 usercpu_time_millis 47.90330500691198 usercpu_time_millis 56.977521991939284 usercpu_time_millis 49.15341500600334 usercpu_time_millis 49.649206004687585 usercpu_time_millis 49.26242999499664 usercpu_time_millis 48.37693400622811 usercpu_time_millis 48.92515500250738 usercpu_time_millis 47.333606009487994 usercpu_time_millis 47.12572900461964 usercpu_time_millis_testing 3.0036490061320364 usercpu_time_millis_testing 2.947696004412137 usercpu_time_millis_testing 3.031553002074361 usercpu_time_millis_testing 2.8889520035590976 usercpu_time_millis_testing 2.927188004832715 usercpu_time_millis_testing 3.041431002202444 usercpu_time_millis_testing 2.9592420032713562 usercpu_time_millis_testing 2.9773860005661845 usercpu_time_millis_testing 2.917238001828082 usercpu_time_millis_testing 2.9262860043672845 usercpu_time_millis_training 45.73035999783315 usercpu_time_millis_training 44.95560900249984 usercpu_time_millis_training 53.94596898986492 usercpu_time_millis_training 46.264463002444245 usercpu_time_millis_training 46.72201799985487 usercpu_time_millis_training 46.22099899279419 usercpu_time_millis_training 45.417692002956755 usercpu_time_millis_training 45.9477690019412 usercpu_time_millis_training 44.41636800765991 usercpu_time_millis_training 44.19944300025236 wall_clock_time_millis 48.77448081970215 wall_clock_time_millis 47.92070388793945 wall_clock_time_millis 56.993961334228516 wall_clock_time_millis 49.619197845458984 wall_clock_time_millis 49.663543701171875 wall_clock_time_millis 49.278974533081055 wall_clock_time_millis 48.41351509094238 wall_clock_time_millis 48.93827438354492 wall_clock_time_millis 47.3482608795166 wall_clock_time_millis 47.14369773864746 wall_clock_time_millis_testing 3.011465072631836 wall_clock_time_millis_testing 2.959012985229492 wall_clock_time_millis_testing 3.0410289764404297 wall_clock_time_millis_testing 2.897977828979492 wall_clock_time_millis_testing 2.936840057373047 wall_clock_time_millis_testing 3.055572509765625 wall_clock_time_millis_testing 2.9692649841308594 wall_clock_time_millis_testing 2.9859542846679688 wall_clock_time_millis_testing 2.927064895629883 wall_clock_time_millis_testing 2.9382705688476562 wall_clock_time_millis_training 45.76301574707031 wall_clock_time_millis_training 44.96169090270996 wall_clock_time_millis_training 53.952932357788086 wall_clock_time_millis_training 46.72122001647949 wall_clock_time_millis_training 46.72670364379883 wall_clock_time_millis_training 46.22340202331543 wall_clock_time_millis_training 45.44425010681152 wall_clock_time_millis_training 45.95232009887695 wall_clock_time_millis_training 44.42119598388672 wall_clock_time_millis_training 44.205427169799805