10327935 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) 8183586 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 2.20249400482954 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0018193656589055621 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 35336 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 21577556 description https://api.openml.org/data/download/21577556/description.xml -1 21577557 predictions https://api.openml.org/data/download/21577557/predictions.arff area_under_roc_curve 0.9671356610918842 [0.967136,0.967136] average_cost 0 f_measure 0.9685869661879668 [0.975877,0.954733] kappa 0.9306122080641086 kb_relative_information_score 0.9273434904211862 mean_absolute_error 0.031473533619456366 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9687166663001061 [0.980176,0.946939] predictive_accuracy 0.9685264663805436 prior_entropy 0.92931856324281 recall 0.9685264663805436 [0.971616,0.962656] relative_absolute_error 0.06963943013253243 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.17740781724449564 root_relative_squared_error 0.3732574454694997 total_cost 0 area_under_roc_curve 0.9891304347826088 [0.98913,0.98913] area_under_roc_curve 0.9782608695652174 [0.978261,0.978261] area_under_roc_curve 0.9583333333333335 [0.958333,0.958333] area_under_roc_curve 0.9782608695652174 [0.978261,0.978261] area_under_roc_curve 0.9791666666666665 [0.979167,0.979167] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9583333333333335 [0.958333,0.958333] area_under_roc_curve 0.9257246376811594 [0.925725,0.925725] area_under_roc_curve 0.9577777777777777 [0.957778,0.957778] area_under_roc_curve 0.9777777777777779 [0.977778,0.977778] 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 0.985781565373402 [0.989011,0.979592] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.9856391149459097 [0.989247,0.978723] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9289078268670106 [0.945055,0.897959] f_measure 0.9573222547445945 [0.966292,0.941176] f_measure 0.9712648221343874 [0.977273,0.96] kappa 0.9686098654708521 kappa 0.9378330373001776 kappa 0.9353049907578558 kappa 0.9378330373001776 kappa 0.9679780420860019 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.8430493273542602 kappa 0.907488986784141 kappa 0.9373297002724795 kb_relative_information_score 0.9669584151155027 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9669584151155027 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.9022653472667126 kb_relative_information_score 0.9332891356923737 mean_absolute_error 0.014285714285714285 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.014285714285714285 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.028985507246376812 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 0.9862857142857142 [1,0.96] precision 0.9736263736263737 [1,0.923077] precision 0.9726190476190477 [0.958333,1] precision 0.9736263736263737 [1,0.923077] precision 0.9860182370820668 [0.978723,1] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9296507936507936 [0.955556,0.88] precision 0.9579170829170829 [0.977273,0.923077] precision 0.9732441471571908 [1,0.923077] predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9710144927536232 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 0.9857142857142858 [0.978261,1] recall 0.9714285714285714 [0.956522,1] recall 0.9714285714285714 [1,0.916667] recall 0.9714285714285714 [0.956522,1] recall 0.9857142857142858 [1,0.958333] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9714285714285714 [1,0.916667] recall 0.9285714285714286 [0.934783,0.916667] recall 0.9571428571428572 [0.955556,0.96] recall 0.9710144927536232 [0.955556,1] relative_absolute_error 0.03165071338269822 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.03165071338269822 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.09403085177733067 relative_absolute_error 0.0640007303934995 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 0.11952286093343936 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.11952286093343936 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.17025130615174972 root_relative_squared_error 0.25180195484222984 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.25180195484222984 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.4319157126524933 root_relative_squared_error 0.35745482999638206 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 12.236535003466997 usercpu_time_millis 12.28294700558763 usercpu_time_millis 11.661503005598206 usercpu_time_millis 11.663981997116935 usercpu_time_millis 11.907330001122318 usercpu_time_millis 11.862556995765772 usercpu_time_millis 11.71591499587521 usercpu_time_millis 11.421474002418108 usercpu_time_millis 11.761092995584477 usercpu_time_millis 11.236710008233786 usercpu_time_millis_testing 1.242108002770692 usercpu_time_millis_testing 1.2648219999391586 usercpu_time_millis_testing 1.2406570021994412 usercpu_time_millis_testing 1.2984209970454685 usercpu_time_millis_testing 1.2516319984570146 usercpu_time_millis_testing 1.3012479976168834 usercpu_time_millis_testing 1.2109369999961928 usercpu_time_millis_testing 1.2266400008229539 usercpu_time_millis_testing 1.2345069990260527 usercpu_time_millis_testing 1.200928003527224 usercpu_time_millis_training 10.994427000696305 usercpu_time_millis_training 11.018125005648471 usercpu_time_millis_training 10.420846003398765 usercpu_time_millis_training 10.365561000071466 usercpu_time_millis_training 10.655698002665304 usercpu_time_millis_training 10.561308998148888 usercpu_time_millis_training 10.504977995879017 usercpu_time_millis_training 10.194834001595154 usercpu_time_millis_training 10.526585996558424 usercpu_time_millis_training 10.035782004706562 wall_clock_time_millis 28.24568748474121 wall_clock_time_millis 28.291940689086914 wall_clock_time_millis 11.670351028442383 wall_clock_time_millis 11.691093444824219 wall_clock_time_millis 19.916057586669922 wall_clock_time_millis 27.871131896972656 wall_clock_time_millis 11.72780990600586 wall_clock_time_millis 11.453628540039062 wall_clock_time_millis 11.774778366088867 wall_clock_time_millis 11.248350143432617 wall_clock_time_millis_testing 1.2478828430175781 wall_clock_time_millis_testing 1.270294189453125 wall_clock_time_millis_testing 1.2459754943847656 wall_clock_time_millis_testing 1.3027191162109375 wall_clock_time_millis_testing 1.2564659118652344 wall_clock_time_millis_testing 1.3065338134765625 wall_clock_time_millis_testing 1.2197494506835938 wall_clock_time_millis_testing 1.2352466583251953 wall_clock_time_millis_testing 1.2412071228027344 wall_clock_time_millis_testing 1.207113265991211 wall_clock_time_millis_training 26.997804641723633 wall_clock_time_millis_training 27.02164649963379 wall_clock_time_millis_training 10.424375534057617 wall_clock_time_millis_training 10.388374328613281 wall_clock_time_millis_training 18.659591674804688 wall_clock_time_millis_training 26.564598083496094 wall_clock_time_millis_training 10.508060455322266 wall_clock_time_millis_training 10.218381881713867 wall_clock_time_millis_training 10.533571243286133 wall_clock_time_millis_training 10.041236877441406