10327948 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) 8183599 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 21.781529435659042 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00018763775717576533 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 56805 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 21577582 description https://api.openml.org/data/download/21577582/description.xml -1 21577583 predictions https://api.openml.org/data/download/21577583/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 11.622191006608773 usercpu_time_millis 11.583645995415282 usercpu_time_millis 11.918631003936753 usercpu_time_millis 11.681927004246973 usercpu_time_millis 12.055425002472475 usercpu_time_millis 11.686015001032501 usercpu_time_millis 12.03385600092588 usercpu_time_millis 11.419232003390789 usercpu_time_millis 11.801182001363486 usercpu_time_millis 11.582449995330535 usercpu_time_millis_testing 1.2926670024171472 usercpu_time_millis_testing 1.2230979991727509 usercpu_time_millis_testing 1.305140001932159 usercpu_time_millis_testing 1.2856560060754418 usercpu_time_millis_testing 1.3101040021865629 usercpu_time_millis_testing 1.2138550009694882 usercpu_time_millis_testing 1.2635989987757057 usercpu_time_millis_testing 1.2671810036408715 usercpu_time_millis_testing 1.2266990015632473 usercpu_time_millis_testing 1.2309419980738312 usercpu_time_millis_training 10.329524004191626 usercpu_time_millis_training 10.36054799624253 usercpu_time_millis_training 10.613491002004594 usercpu_time_millis_training 10.39627099817153 usercpu_time_millis_training 10.745321000285912 usercpu_time_millis_training 10.472160000063013 usercpu_time_millis_training 10.770257002150174 usercpu_time_millis_training 10.152050999749918 usercpu_time_millis_training 10.574482999800239 usercpu_time_millis_training 10.351507997256704 wall_clock_time_millis 27.626514434814453 wall_clock_time_millis 11.591672897338867 wall_clock_time_millis 11.929512023925781 wall_clock_time_millis 11.702299118041992 wall_clock_time_millis 12.075662612915039 wall_clock_time_millis 11.695146560668945 wall_clock_time_millis 12.042522430419922 wall_clock_time_millis 11.429309844970703 wall_clock_time_millis 11.811256408691406 wall_clock_time_millis 11.589765548706055 wall_clock_time_millis_testing 1.2998580932617188 wall_clock_time_millis_testing 1.2271404266357422 wall_clock_time_millis_testing 1.310110092163086 wall_clock_time_millis_testing 1.2993812561035156 wall_clock_time_millis_testing 1.3225078582763672 wall_clock_time_millis_testing 1.2187957763671875 wall_clock_time_millis_testing 1.2688636779785156 wall_clock_time_millis_testing 1.2714862823486328 wall_clock_time_millis_testing 1.2328624725341797 wall_clock_time_millis_testing 1.2347698211669922 wall_clock_time_millis_training 26.326656341552734 wall_clock_time_millis_training 10.364532470703125 wall_clock_time_millis_training 10.619401931762695 wall_clock_time_millis_training 10.402917861938477 wall_clock_time_millis_training 10.753154754638672 wall_clock_time_millis_training 10.476350784301758 wall_clock_time_millis_training 10.773658752441406 wall_clock_time_millis_training 10.15782356262207 wall_clock_time_millis_training 10.578393936157227 wall_clock_time_millis_training 10.354995727539062