10559304 8323 Heinrich Peters 37 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270144 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 memory null 17494 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"}}] 17494 verbose false 17494 C 13917.287565392886 17495 cache_size 200 17495 class_weight null 17495 coef0 0.030380904322180546 17495 decision_function_shape "ovr" 17495 degree 5 17495 gamma 0.0011255179130262153 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22043573 description https://api.openml.org/data/download/22043573/description.xml -1 22043574 predictions https://api.openml.org/data/download/22043574/predictions.arff area_under_roc_curve 0.8246044776119402 [0.824604,0.824604] average_cost 0 f_measure 0.7486768430610424 [0.825188,0.605932] kappa 0.43572241183162685 kb_relative_information_score 0.28128904726479254 mean_absolute_error 0.3370898175298825 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7578125 [0.878,0.533582] number_of_instances 768 [500,268] precision 0.7513634664858851 [0.778369,0.70098] predictive_accuracy 0.7578125 prior_entropy 0.9331348051619819 relative_absolute_error 0.7416858945055667 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4032121320795155 root_relative_squared_error 0.8459452665246623 total_cost 0 unweighted_recall 0.7057910447761194 [0.878,0.533582] area_under_roc_curve 0.9118518518518518 [0.911852,0.911852] area_under_roc_curve 0.7207407407407408 [0.720741,0.720741] area_under_roc_curve 0.8392592592592591 [0.839259,0.839259] area_under_roc_curve 0.8125925925925926 [0.812593,0.812593] area_under_roc_curve 0.8125925925925926 [0.812593,0.812593] area_under_roc_curve 0.8866666666666667 [0.886667,0.886667] area_under_roc_curve 0.8222222222222221 [0.822222,0.822222] area_under_roc_curve 0.8703703703703703 [0.87037,0.87037] area_under_roc_curve 0.8357692307692307 [0.835769,0.835769] area_under_roc_curve 0.7723076923076925 [0.772308,0.772308] 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 0.6664899726124217 [0.761905,0.489796] f_measure 0.7429428793517082 [0.82243,0.595745] f_measure 0.6818295739348371 [0.807018,0.45] f_measure 0.7429428793517082 [0.82243,0.595745] f_measure 0.8426867250396664 [0.882353,0.769231] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.7899303713257201 [0.864865,0.651163] f_measure 0.7607430340557275 [0.823529,0.64] f_measure 0.7112313494015413 [0.803738,0.533333] kappa 0.468558282208589 kappa 0.2553191489361703 kappa 0.4237888932650651 kappa 0.28763666947014305 kappa 0.4237888932650651 kappa 0.6518462697814618 kappa 0.4936170212765959 kappa 0.5279934613812833 kappa 0.4639498432601882 kappa 0.34375000000000006 kb_relative_information_score 0.35863280614334486 kb_relative_information_score 0.17961590179059858 kb_relative_information_score 0.2531747082057174 kb_relative_information_score 0.2464114993435955 kb_relative_information_score 0.2724666553278095 kb_relative_information_score 0.343607105721176 kb_relative_information_score 0.32384420069798625 kb_relative_information_score 0.3273917005071953 kb_relative_information_score 0.2793085744699361 kb_relative_information_score 0.22725643816619512 mean_absolute_error 0.3063820701714116 mean_absolute_error 0.3743061948046147 mean_absolute_error 0.35295031034739716 mean_absolute_error 0.3463336078716472 mean_absolute_error 0.3401229342039194 mean_absolute_error 0.3163966218089923 mean_absolute_error 0.3197745722040728 mean_absolute_error 0.32412510031642205 mean_absolute_error 0.33664278052671287 mean_absolute_error 0.3540788136819328 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 0.6635182998819362 [0.727273,0.545455] precision 0.7467076782866255 [0.77193,0.7] precision 0.709478021978022 [0.71875,0.692308] precision 0.7467076782866255 [0.77193,0.7] precision 0.8424575424575425 [0.865385,0.8] precision 0.7744982290436836 [0.8,0.727273] precision 0.8177826272088567 [0.786885,0.875] precision 0.75944669365722 [0.807692,0.666667] precision 0.7123730378578024 [0.754386,0.631579] predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.8441558441558442 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.763157894736842 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 relative_absolute_error 0.6733659391504975 relative_absolute_error 0.8226494528659812 relative_absolute_error 0.7757135300625403 relative_absolute_error 0.7611713537720998 relative_absolute_error 0.7475215468343535 relative_absolute_error 0.6953759019555595 relative_absolute_error 0.702799954997941 relative_absolute_error 0.7123615375230989 relative_absolute_error 0.7440827736978095 relative_absolute_error 0.782621701792819 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 0.36300261080431545 root_mean_squared_error 0.4667794664366027 root_mean_squared_error 0.4149227834649611 root_mean_squared_error 0.4166603573911396 root_mean_squared_error 0.40366056155133667 root_mean_squared_error 0.3632203978166412 root_mean_squared_error 0.39282659763146555 root_mean_squared_error 0.385272553969989 root_mean_squared_error 0.3942164255817139 root_mean_squared_error 0.4212532936509759 root_relative_squared_error 0.7607325183239128 root_relative_squared_error 0.9782142288657822 root_relative_squared_error 0.8695399002114145 root_relative_squared_error 0.8731812761941022 root_relative_squared_error 0.8459380356978484 root_relative_squared_error 0.761188927334244 root_relative_squared_error 0.8232336572419124 root_relative_squared_error 0.8074028987650217 root_relative_squared_error 0.8308564390827283 root_relative_squared_error 0.8878397469061622 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 0.6222222222222222 [0.8,0.444444] unweighted_recall 0.6992592592592592 [0.88,0.518519] unweighted_recall 0.6266666666666667 [0.92,0.333333] unweighted_recall 0.6992592592592592 [0.88,0.518519] unweighted_recall 0.8203703703703704 [0.9,0.740741] unweighted_recall 0.7362962962962962 [0.88,0.592593] unweighted_recall 0.7392592592592593 [0.96,0.518519] unweighted_recall 0.7276923076923076 [0.84,0.615385] unweighted_recall 0.6607692307692308 [0.86,0.461538] usercpu_time_millis 53.12000000049011 usercpu_time_millis 54.597999999714375 usercpu_time_millis 55.43799999941257 usercpu_time_millis 52.27600000034727 usercpu_time_millis 53.589999999530846 usercpu_time_millis 52.779999999984284 usercpu_time_millis 53.03199999980279 usercpu_time_millis 51.674000000275555 usercpu_time_millis 54.754000000684755 usercpu_time_millis 58.4420000004684 usercpu_time_millis_testing 1.8180000006395858 usercpu_time_millis_testing 1.3639999997394625 usercpu_time_millis_testing 1.3719999997192645 usercpu_time_millis_testing 3.404000000045926 usercpu_time_millis_testing 1.5880000000834116 usercpu_time_millis_testing 1.667999999881431 usercpu_time_millis_testing 1.3699999999516876 usercpu_time_millis_testing 1.352000000224507 usercpu_time_millis_testing 1.2900000001536682 usercpu_time_millis_testing 1.5080000002853922 usercpu_time_millis_training 51.30199999985052 usercpu_time_millis_training 53.23399999997491 usercpu_time_millis_training 54.065999999693304 usercpu_time_millis_training 48.87200000030134 usercpu_time_millis_training 52.001999999447435 usercpu_time_millis_training 51.11200000010285 usercpu_time_millis_training 51.661999999851105 usercpu_time_millis_training 50.32200000005105 usercpu_time_millis_training 53.46400000053109 usercpu_time_millis_training 56.934000000183005 wall_clock_time_millis 27.33016014099121 wall_clock_time_millis 28.078794479370117 wall_clock_time_millis 29.308319091796875 wall_clock_time_millis 27.369976043701172 wall_clock_time_millis 27.421951293945312 wall_clock_time_millis 27.040958404541016 wall_clock_time_millis 27.12702751159668 wall_clock_time_millis 26.347875595092773 wall_clock_time_millis 28.00607681274414 wall_clock_time_millis 29.90412712097168 wall_clock_time_millis_testing 0.92315673828125 wall_clock_time_millis_testing 0.6840229034423828 wall_clock_time_millis_testing 0.6883144378662109 wall_clock_time_millis_testing 2.2399425506591797 wall_clock_time_millis_testing 0.8120536804199219 wall_clock_time_millis_testing 0.8869171142578125 wall_clock_time_millis_testing 0.6871223449707031 wall_clock_time_millis_testing 0.6780624389648438 wall_clock_time_millis_testing 0.6468296051025391 wall_clock_time_millis_testing 0.7610321044921875 wall_clock_time_millis_training 26.40700340270996 wall_clock_time_millis_training 27.394771575927734 wall_clock_time_millis_training 28.620004653930664 wall_clock_time_millis_training 25.130033493041992 wall_clock_time_millis_training 26.60989761352539 wall_clock_time_millis_training 26.154041290283203 wall_clock_time_millis_training 26.439905166625977 wall_clock_time_millis_training 25.66981315612793 wall_clock_time_millis_training 27.3592472076416 wall_clock_time_millis_training 29.143095016479492 weighted_recall 0.7662337662337663 [0.86,0.592593] weighted_recall 0.6753246753246753 [0.8,0.444444] weighted_recall 0.7532467532467533 [0.88,0.518519] weighted_recall 0.7142857142857143 [0.92,0.333333] weighted_recall 0.7532467532467533 [0.88,0.518519] weighted_recall 0.8441558441558441 [0.9,0.740741] weighted_recall 0.7792207792207793 [0.88,0.592593] weighted_recall 0.8051948051948052 [0.96,0.518519] weighted_recall 0.7631578947368421 [0.84,0.615385] weighted_recall 0.7236842105263158 [0.86,0.461538]