10327923 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) 8183574 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 4840.789458474328 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 3.786699955884409e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 19050 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 21577532 description https://api.openml.org/data/download/21577532/description.xml -1 21577533 predictions https://api.openml.org/data/download/21577533/predictions.arff area_under_roc_curve 0.9618945804417547 [0.961895,0.961895] average_cost 0 f_measure 0.9642864752549101 [0.972618,0.948454] kappa 0.9210729561395982 kb_relative_information_score 0.9174357845695296 mean_absolute_error 0.0357653791130186 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9643771154148977 [0.975824,0.942623] predictive_accuracy 0.9642346208869814 prior_entropy 0.92931856324281 recall 0.9642346208869814 [0.969432,0.954357] relative_absolute_error 0.07913571605969597 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.18911736861805845 root_relative_squared_error 0.3978937737958127 total_cost 0 area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9782608695652174 [0.978261,0.978261] area_under_roc_curve 0.9583333333333335 [0.958333,0.958333] area_under_roc_curve 0.9673913043478262 [0.967391,0.967391] 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 0.9465579710144928 [0.946558,0.946558] area_under_roc_curve 0.9377777777777778 [0.937778,0.937778] 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 0.9714285714285714 [0.978261,0.958333] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.957681049948069 [0.966292,0.941176] 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 0.9433650793650794 [0.955556,0.92] f_measure 0.9428571428571428 [0.955556,0.92] f_measure 0.956721134961068 [0.966292,0.938776] kappa 0.9365942028985507 kappa 0.9378330373001776 kappa 0.9353049907578558 kappa 0.907651715039578 kappa 0.9679780420860019 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.8756660746003552 kappa 0.8755555555555555 kappa 0.9050894085281982 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.9669584151155027 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8678336604620113 kb_relative_information_score 0.8696871296889499 kb_relative_information_score 0.8999337035385606 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.014285714285714285 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.05714285714285714 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 0.9714285714285714 [0.978261,0.958333] precision 0.9736263736263737 [1,0.923077] precision 0.9726190476190477 [0.958333,1] precision 0.9619047619047618 [1,0.888889] precision 0.9860182370820668 [0.978723,1] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9455044955044954 [0.977273,0.884615] precision 0.9428571428571428 [0.955556,0.92] precision 0.9573517786561265 [0.977273,0.92] predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 predictive_accuracy 0.942857142857143 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 0.9714285714285714 [0.978261,0.958333] recall 0.9714285714285714 [0.956522,1] recall 0.9714285714285714 [1,0.916667] recall 0.9571428571428572 [0.934783,1] recall 0.9857142857142858 [1,0.958333] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9714285714285714 [1,0.916667] recall 0.9428571428571428 [0.934783,0.958333] recall 0.9428571428571428 [0.955556,0.92] recall 0.9565217391304348 [0.955556,0.958333] relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.03165071338269822 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.1253744690364409 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 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.11952286093343936 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.20851441405707477 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.25180195484222984 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.49873330593429216 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 10.315474006347358 usercpu_time_millis 8.92518500040751 usercpu_time_millis 10.145187996386085 usercpu_time_millis 9.948947001248598 usercpu_time_millis 10.525688994675875 usercpu_time_millis 9.526975998596754 usercpu_time_millis 10.073343997646589 usercpu_time_millis 9.37565800268203 usercpu_time_millis 12.91115899948636 usercpu_time_millis 9.78576500347117 usercpu_time_millis_testing 0.9435970059712417 usercpu_time_millis_testing 0.8481149998260662 usercpu_time_millis_testing 1.0148879955522716 usercpu_time_millis_testing 0.8839399961289018 usercpu_time_millis_testing 1.0558129943092354 usercpu_time_millis_testing 0.9482960012974218 usercpu_time_millis_testing 0.9267999994335696 usercpu_time_millis_testing 0.9351929984404705 usercpu_time_millis_testing 0.995194997813087 usercpu_time_millis_testing 0.9318459997302853 usercpu_time_millis_training 9.371877000376116 usercpu_time_millis_training 8.077070000581443 usercpu_time_millis_training 9.130300000833813 usercpu_time_millis_training 9.065007005119696 usercpu_time_millis_training 9.46987600036664 usercpu_time_millis_training 8.578679997299332 usercpu_time_millis_training 9.14654399821302 usercpu_time_millis_training 8.44046500424156 usercpu_time_millis_training 11.915964001673274 usercpu_time_millis_training 8.853919003740884 wall_clock_time_millis 26.32451057434082 wall_clock_time_millis 8.935213088989258 wall_clock_time_millis 10.15615463256836 wall_clock_time_millis 9.960412979125977 wall_clock_time_millis 10.538339614868164 wall_clock_time_millis 25.552749633789062 wall_clock_time_millis 10.08462905883789 wall_clock_time_millis 25.38895606994629 wall_clock_time_millis 12.922048568725586 wall_clock_time_millis 9.79471206665039 wall_clock_time_millis_testing 0.9491443634033203 wall_clock_time_millis_testing 0.8537769317626953 wall_clock_time_millis_testing 1.0209083557128906 wall_clock_time_millis_testing 0.8890628814697266 wall_clock_time_millis_testing 1.0614395141601562 wall_clock_time_millis_testing 16.968965530395508 wall_clock_time_millis_testing 0.9324550628662109 wall_clock_time_millis_testing 0.9434223175048828 wall_clock_time_millis_testing 1.001119613647461 wall_clock_time_millis_testing 0.9367465972900391 wall_clock_time_millis_training 25.3753662109375 wall_clock_time_millis_training 8.081436157226562 wall_clock_time_millis_training 9.135246276855469 wall_clock_time_millis_training 9.07135009765625 wall_clock_time_millis_training 9.476900100708008 wall_clock_time_millis_training 8.583784103393555 wall_clock_time_millis_training 9.15217399597168 wall_clock_time_millis_training 24.445533752441406 wall_clock_time_millis_training 11.920928955078125 wall_clock_time_millis_training 8.857965469360352