1268 3229 Test Test 115 Supervised Classification 13957 sklearn.neighbors._classification.KNeighborsClassifier(1) 77 Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1. algorithm "auto" 13957 leaf_size 30 13957 metric "minkowski" 13957 metric_params null 13957 n_jobs null 13957 n_neighbors 5 13957 p 2 13957 weights "uniform" 13957 openml-python Sklearn_1.3.2. 20 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 3552 description https://test.openml.org/data/download/3552/description.xml -1 3553 predictions https://test.openml.org/data/download/3553/predictions.arff area_under_roc_curve 0.742018656716418 [0.742019,0.742019] average_cost 0 f_measure 0.7188169240669241 [0.795367,0.576] kappa 0.37293566674882933 kb_relative_information_score 0.2569468510398848 mean_absolute_error 0.332552083333333 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7239583333333334 [0.824,0.537313] number_of_instances 768 [500,268] precision 0.7170223773374507 [0.768657,0.62069] predictive_accuracy 0.7239583333333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.7317016906774638 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4450538356948139 root_relative_squared_error 0.9337298054822085 total_cost 0 unweighted_recall 0.6806567164179105 [0.824,0.537313] area_under_roc_curve 0.8244444444444444 [0.824444,0.824444] area_under_roc_curve 0.6877777777777778 [0.687778,0.687778] area_under_roc_curve 0.7974074074074075 [0.797407,0.797407] area_under_roc_curve 0.6951851851851852 [0.695185,0.695185] area_under_roc_curve 0.7011111111111111 [0.701111,0.701111] area_under_roc_curve 0.7903703703703704 [0.79037,0.79037] area_under_roc_curve 0.7414814814814814 [0.741481,0.741481] area_under_roc_curve 0.7374074074074073 [0.737407,0.737407] area_under_roc_curve 0.7188461538461538 [0.718846,0.718846] area_under_roc_curve 0.7238461538461539 [0.723846,0.723846] 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 0.7640300875594993 [0.823529,0.653846] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.7640300875594993 [0.823529,0.653846] f_measure 0.6727523684045422 [0.777778,0.478261] f_measure 0.6274636920323302 [0.701031,0.491228] f_measure 0.7422475483699973 [0.795918,0.642857] f_measure 0.7198515769944341 [0.8,0.571429] f_measure 0.7387584892172047 [0.825688,0.577778] f_measure 0.7061749744534154 [0.807339,0.511628] f_measure 0.7341589267285862 [0.803922,0.6] kappa 0.4777694046721929 kappa 0.3504601226993866 kappa 0.4777694046721929 kappa 0.2655007949125597 kappa 0.193571686529433 kappa 0.43918426802622007 kappa 0.3744680851063831 kappa 0.4131568391496189 kappa 0.33053691275167785 kappa 0.4043887147335422 kb_relative_information_score 0.34843389451824813 kb_relative_information_score 0.20183470477036425 kb_relative_information_score 0.31197289711076637 kb_relative_information_score 0.2132085287570053 kb_relative_information_score 0.16144286884912223 kb_relative_information_score 0.2683800329953925 kb_relative_information_score 0.29515239518574116 kb_relative_information_score 0.2741248848871308 kb_relative_information_score 0.26259867487234967 kb_relative_information_score 0.23191096872005307 mean_absolute_error 0.2987012987012986 mean_absolute_error 0.3558441558441558 mean_absolute_error 0.3116883116883115 mean_absolute_error 0.3506493506493505 mean_absolute_error 0.3688311688311688 mean_absolute_error 0.32987012987012965 mean_absolute_error 0.31168831168831157 mean_absolute_error 0.32727272727272705 mean_absolute_error 0.32631578947368406 mean_absolute_error 0.34473684210526295 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 weighted_recall 0.7662337662337663 [0.84,0.62963] weighted_recall 0.7142857142857143 [0.82,0.518519] weighted_recall 0.7662337662337663 [0.84,0.62963] weighted_recall 0.6883116883116883 [0.84,0.407407] weighted_recall 0.6233766233766234 [0.68,0.518519] weighted_recall 0.7402597402597403 [0.78,0.666667] weighted_recall 0.7272727272727273 [0.84,0.518519] weighted_recall 0.7532467532467533 [0.9,0.481481] weighted_recall 0.7236842105263158 [0.88,0.423077] weighted_recall 0.7368421052631579 [0.82,0.576923] 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 0.7629170829170829 [0.807692,0.68] precision 0.7064642282033586 [0.759259,0.608696] precision 0.7629170829170829 [0.807692,0.68] precision 0.6732269545336695 [0.724138,0.578947] precision 0.633379386570876 [0.723404,0.466667] precision 0.7452418271383789 [0.8125,0.62069] precision 0.71900826446281 [0.763636,0.636364] precision 0.74851419766674 [0.762712,0.722222] precision 0.7119955921708558 [0.745763,0.647059] precision 0.7325404858299595 [0.788462,0.625] predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7236842105263157 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 0.6564851540200901 relative_absolute_error 0.782073618267412 relative_absolute_error 0.6850279868035721 relative_absolute_error 0.7706564851540187 relative_absolute_error 0.810616451050894 relative_absolute_error 0.7249879527004471 relative_absolute_error 0.6850279868035724 relative_absolute_error 0.7192793861437506 relative_absolute_error 0.72125698746034 relative_absolute_error 0.7619731077201977 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 0.4121530418062322 root_mean_squared_error 0.4709757762541315 root_mean_squared_error 0.41902794129319765 root_mean_squared_error 0.47536725378808514 root_mean_squared_error 0.4547012719943133 root_mean_squared_error 0.41716420511109764 root_mean_squared_error 0.4524105709146556 root_mean_squared_error 0.4372285800000168 root_mean_squared_error 0.45189658807717215 root_mean_squared_error 0.45479897236378825 root_relative_squared_error 0.8637354445837185 root_relative_squared_error 0.9870082960161062 root_relative_squared_error 0.8781429431643895 root_relative_squared_error 0.9962113696693927 root_relative_squared_error 0.9529023578174447 root_relative_squared_error 0.8742371731310586 root_relative_squared_error 0.9481018116252445 root_relative_squared_error 0.9162854173682625 root_relative_squared_error 0.9524240128995018 root_relative_squared_error 0.9585411214640908 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 5.106200000000172 usercpu_time_millis 4.820300000005773 usercpu_time_millis 4.906700000006481 usercpu_time_millis 4.97420000000659 usercpu_time_millis 4.938800000005017 usercpu_time_millis 4.834899999991649 usercpu_time_millis 4.795799999996575 usercpu_time_millis 4.805500000003349 usercpu_time_millis 6.660999999994033 usercpu_time_millis 4.8773999999838225 usercpu_time_millis_testing 2.940899999998692 usercpu_time_millis_testing 2.8757000000041444 usercpu_time_millis_testing 2.9318000000131406 usercpu_time_millis_testing 2.953300000001491 usercpu_time_millis_testing 2.994499999999789 usercpu_time_millis_testing 2.8565999999869973 usercpu_time_millis_testing 2.881899999991333 usercpu_time_millis_testing 2.857300000002283 usercpu_time_millis_testing 3.9751999999992904 usercpu_time_millis_testing 2.907499999992069 usercpu_time_millis_training 2.16530000000148 usercpu_time_millis_training 1.9446000000016284 usercpu_time_millis_training 1.9748999999933403 usercpu_time_millis_training 2.020900000005099 usercpu_time_millis_training 1.944300000005228 usercpu_time_millis_training 1.9783000000046513 usercpu_time_millis_training 1.913900000005242 usercpu_time_millis_training 1.9482000000010657 usercpu_time_millis_training 2.6857999999947424 usercpu_time_millis_training 1.9698999999917532 wall_clock_time_millis 5.107641220092773 wall_clock_time_millis 4.822969436645508 wall_clock_time_millis 4.91023063659668 wall_clock_time_millis 4.976987838745117 wall_clock_time_millis 4.9419403076171875 wall_clock_time_millis 4.837751388549805 wall_clock_time_millis 4.798173904418945 wall_clock_time_millis 4.807949066162109 wall_clock_time_millis 6.664037704467773 wall_clock_time_millis 4.880189895629883 wall_clock_time_millis_training 2.1638870239257812 wall_clock_time_millis_training 1.9450187683105469 wall_clock_time_millis_training 1.9755363464355469 wall_clock_time_millis_training 2.021312713623047 wall_clock_time_millis_training 1.9450187683105469 wall_clock_time_millis_training 1.9786357879638672 wall_clock_time_millis_training 1.9140243530273438 wall_clock_time_millis_training 1.9483566284179688 wall_clock_time_millis_training 2.6865005493164062 wall_clock_time_millis_training 1.970529556274414 wall_clock_time_millis_testing 2.943754196166992 wall_clock_time_millis_testing 2.877950668334961 wall_clock_time_millis_testing 2.934694290161133 wall_clock_time_millis_testing 2.9556751251220703 wall_clock_time_millis_testing 2.9969215393066406 wall_clock_time_millis_testing 2.8591156005859375 wall_clock_time_millis_testing 2.8841495513916016 wall_clock_time_millis_testing 2.8595924377441406 wall_clock_time_millis_testing 3.977537155151367 wall_clock_time_millis_testing 2.9096603393554688 unweighted_recall 0.7348148148148148 [0.84,0.62963] unweighted_recall 0.6692592592592592 [0.82,0.518519] unweighted_recall 0.7348148148148148 [0.84,0.62963] unweighted_recall 0.6237037037037036 [0.84,0.407407] unweighted_recall 0.5992592592592593 [0.68,0.518519] unweighted_recall 0.7233333333333334 [0.78,0.666667] unweighted_recall 0.6792592592592592 [0.84,0.518519] unweighted_recall 0.6907407407407408 [0.9,0.481481] unweighted_recall 0.6515384615384615 [0.88,0.423077] unweighted_recall 0.6984615384615385 [0.82,0.576923]