10327882 8323 Heinrich Peters 15 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183533 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 0.07077231909653779 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9005967890758899 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 2.867595836610148 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 17258 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. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 21577450 description https://api.openml.org/data/download/21577450/description.xml -1 21577451 predictions https://api.openml.org/data/download/21577451/predictions.arff area_under_roc_curve 0.893212415517585 [0.893212,0.893212] average_cost 0 f_measure 0.9130098784621771 [0.93617,0.868996] kappa 0.805426169577078 kb_relative_information_score 0.8018458829668711 mean_absolute_error 0.08583690987124463 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9143068710971612 [0.912863,0.917051] predictive_accuracy 0.9141630901287553 prior_entropy 0.92931856324281 recall 0.9141630901287554 [0.960699,0.825726] relative_absolute_error 0.18992571854327028 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.2929793676545238 root_relative_squared_error 0.6164143837883214 total_cost 0 area_under_roc_curve 0.8840579710144928 [0.884058,0.884058] area_under_roc_curve 0.832427536231884 [0.832428,0.832428] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.8840579710144928 [0.884058,0.884058] area_under_roc_curve 0.8958333333333334 [0.895833,0.895833] area_under_roc_curve 0.884963768115942 [0.884964,0.884964] area_under_roc_curve 0.8432971014492754 [0.843297,0.843297] area_under_roc_curve 0.9148550724637681 [0.914855,0.914855] area_under_roc_curve 0.8977777777777778 [0.897778,0.897778] area_under_roc_curve 0.9569444444444445 [0.956944,0.956944] 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 0.8994738046213682 [0.924731,0.851064] f_measure 0.8672671849847587 [0.907216,0.790698] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.8994738046213682 [0.924731,0.851064] f_measure 0.9262595472137548 [0.948454,0.883721] f_measure 0.9121753246753247 [0.9375,0.863636] f_measure 0.8810495626822158 [0.918367,0.809524] f_measure 0.915047619047619 [0.933333,0.88] f_measure 0.9134316770186335 [0.934783,0.875] f_measure 0.956721134961068 [0.966292,0.938776] kappa 0.7758462946020128 kappa 0.6997140133460439 kappa 0.9019607843137256 kappa 0.7758462946020128 kappa 0.8331744518589134 kappa 0.8018867924528301 kappa 0.7302504816955683 kappa 0.8134991119005328 kappa 0.8099547511312216 kappa 0.9050894085281982 kb_relative_information_score 0.7687089058085196 kb_relative_information_score 0.7026257360395255 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.7687089058085198 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.8017504906930171 kb_relative_information_score 0.7356673209240224 kb_relative_information_score 0.801750490693017 kb_relative_information_score 0.804530694533425 kb_relative_information_score 0.8999337035385606 mean_absolute_error 0.1 mean_absolute_error 0.12857142857142856 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.1 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.11428571428571428 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.043478260869565216 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.8993524514338576 [0.914894,0.869565] precision 0.8737136960047177 [0.862745,0.894737] precision 0.9597667638483965 [0.938776,1] precision 0.8993524514338576 [0.914894,0.869565] precision 0.9355742296918769 [0.901961,1] precision 0.9171428571428569 [0.9,0.95] precision 0.8924908424908424 [0.865385,0.944444] precision 0.9173826173826175 [0.954545,0.846154] precision 0.914232853178274 [0.914894,0.913043] precision 0.9573517786561265 [0.977273,0.92] predictive_accuracy 0.9 predictive_accuracy 0.8714285714285714 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.8857142857142857 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9565217391304348 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 recall 0.9 [0.934783,0.833333] recall 0.8714285714285714 [0.956522,0.708333] recall 0.9571428571428572 [1,0.875] recall 0.9 [0.934783,0.833333] recall 0.9285714285714286 [1,0.791667] recall 0.9142857142857143 [0.978261,0.791667] recall 0.8857142857142857 [0.978261,0.708333] recall 0.9142857142857143 [0.913043,0.916667] recall 0.9142857142857143 [0.955556,0.84] recall 0.9565217391304348 [0.955556,0.958333] relative_absolute_error 0.2215549936788875 relative_absolute_error 0.28485642044428394 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.2215549936788875 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.1899042802961893 relative_absolute_error 0.25320570706158574 relative_absolute_error 0.1899042802961893 relative_absolute_error 0.18806170355466134 relative_absolute_error 0.09600109559024926 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.35856858280031806 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.3380617018914066 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.20851441405707477 root_relative_squared_error 0.6662053521524564 root_relative_squared_error 0.7554058645266893 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.6662053521524564 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.616786305598795 root_relative_squared_error 0.7122034791398779 root_relative_squared_error 0.616786305598795 root_relative_squared_error 0.6108210586351968 root_relative_squared_error 0.43779096979222126 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 12.242752010934055 usercpu_time_millis 12.224060999869835 usercpu_time_millis 12.314523992245086 usercpu_time_millis 11.8723810010124 usercpu_time_millis 12.521764008852188 usercpu_time_millis 12.991442999918945 usercpu_time_millis 12.892257997009438 usercpu_time_millis 12.715121993096545 usercpu_time_millis 12.841012001445051 usercpu_time_millis 12.922759997309186 usercpu_time_millis_testing 0.9598020042176358 usercpu_time_millis_testing 1.0089380011777394 usercpu_time_millis_testing 0.9661499934736639 usercpu_time_millis_testing 0.956181000219658 usercpu_time_millis_testing 1.0255670058541 usercpu_time_millis_testing 0.979898999503348 usercpu_time_millis_testing 0.9158899993053637 usercpu_time_millis_testing 1.0413159980089404 usercpu_time_millis_testing 0.9671520019765012 usercpu_time_millis_testing 0.9917389979818836 usercpu_time_millis_training 11.282950006716419 usercpu_time_millis_training 11.215122998692095 usercpu_time_millis_training 11.348373998771422 usercpu_time_millis_training 10.916200000792742 usercpu_time_millis_training 11.496197002998088 usercpu_time_millis_training 12.011544000415597 usercpu_time_millis_training 11.976367997704074 usercpu_time_millis_training 11.673805995087605 usercpu_time_millis_training 11.87385999946855 usercpu_time_millis_training 11.931020999327302 wall_clock_time_millis 12.255668640136719 wall_clock_time_millis 12.234926223754883 wall_clock_time_millis 12.325048446655273 wall_clock_time_millis 27.881383895874023 wall_clock_time_millis 28.530359268188477 wall_clock_time_millis 13.001441955566406 wall_clock_time_millis 12.902498245239258 wall_clock_time_millis 12.72726058959961 wall_clock_time_millis 12.867927551269531 wall_clock_time_millis 12.931585311889648 wall_clock_time_millis_testing 0.9663105010986328 wall_clock_time_millis_testing 1.01470947265625 wall_clock_time_millis_testing 0.972747802734375 wall_clock_time_millis_testing 0.9629726409912109 wall_clock_time_millis_testing 1.0325908660888672 wall_clock_time_millis_testing 0.9839534759521484 wall_clock_time_millis_testing 0.9210109710693359 wall_clock_time_millis_testing 1.0466575622558594 wall_clock_time_millis_testing 0.9725093841552734 wall_clock_time_millis_testing 0.9977817535400391 wall_clock_time_millis_training 11.289358139038086 wall_clock_time_millis_training 11.220216751098633 wall_clock_time_millis_training 11.352300643920898 wall_clock_time_millis_training 26.918411254882812 wall_clock_time_millis_training 27.49776840209961 wall_clock_time_millis_training 12.017488479614258 wall_clock_time_millis_training 11.981487274169922 wall_clock_time_millis_training 11.68060302734375 wall_clock_time_millis_training 11.895418167114258 wall_clock_time_millis_training 11.93380355834961