10559094 8323 Heinrich Peters 15 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270264 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 1.2019329859336583 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.8056274588169823 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 0.14660663245874161 17495 kernel "rbf" 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. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 22043152 description https://api.openml.org/data/download/22043152/description.xml -1 22043153 predictions https://api.openml.org/data/download/22043153/predictions.arff area_under_roc_curve 0.9903875772345939 [0.990388,0.990388] average_cost 0 f_measure 0.9686447432577614 [0.975771,0.955102] kappa 0.9308829081495065 kb_relative_information_score 0.8885611414740876 mean_absolute_error 0.0546886994952139 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9685264663805436 [0.967249,0.970954] number_of_instances 699 [458,241] precision 0.9690378873625164 [0.984444,0.939759] predictive_accuracy 0.9685264663805436 prior_entropy 0.92931856324281 relative_absolute_error 0.12100610988216688 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.16182334161765294 root_relative_squared_error 0.34046846439861356 total_cost 0 unweighted_recall 0.9691016325717081 [0.967249,0.970954] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.9791666666666665 [0.979167,0.979167] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9990942028985509 [0.999094,0.999094] area_under_roc_curve 0.9972826086956522 [0.997283,0.997283] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.9728260869565218 [0.972826,0.972826] area_under_roc_curve 0.9786666666666666 [0.978667,0.978667] area_under_roc_curve 0.9916666666666666 [0.991667,0.991667] 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 0.9856391149459097 [0.989247,0.978723] f_measure 0.957681049948069 [0.966292,0.941176] f_measure 0.9714285714285714 [0.978261,0.958333] 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 0.9573222547445945 [0.966292,0.941176] f_measure 0.9712648221343874 [0.977273,0.96] kappa 0.9686098654708521 kappa 0.9378330373001776 kappa 0.9679780420860019 kappa 0.907651715039578 kappa 0.9365942028985507 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.8756660746003552 kappa 0.907488986784141 kappa 0.9373297002724795 kb_relative_information_score 0.8997842068464589 kb_relative_information_score 0.9020849714835958 kb_relative_information_score 0.9356584869870432 kb_relative_information_score 0.87484736663781 kb_relative_information_score 0.9139099910902957 kb_relative_information_score 0.9068957930895976 kb_relative_information_score 0.888320256663286 kb_relative_information_score 0.8182690470616035 kb_relative_information_score 0.8651576369273504 kb_relative_information_score 0.880944868370672 mean_absolute_error 0.04985246559974684 mean_absolute_error 0.048317988289071356 mean_absolute_error 0.03422661959875695 mean_absolute_error 0.05909224996679438 mean_absolute_error 0.04441529397026395 mean_absolute_error 0.045549667706117444 mean_absolute_error 0.05599415105307955 mean_absolute_error 0.08504768888615998 mean_absolute_error 0.0654804265813439 mean_absolute_error 0.05897162799363902 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 0.9860182370820668 [0.978723,1] precision 0.9619047619047618 [1,0.888889] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9455044955044954 [0.977273,0.884615] precision 0.9579170829170829 [0.977273,0.923077] precision 0.9732441471571908 [1,0.923077] predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 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 relative_absolute_error 0.11045062700828868 relative_absolute_error 0.10705091589961765 relative_absolute_error 0.07583078488852282 relative_absolute_error 0.13092183067864369 relative_absolute_error 0.0984043017482776 relative_absolute_error 0.10091756340704278 relative_absolute_error 0.12405783782619713 relative_absolute_error 0.18842740173577163 relative_absolute_error 0.14366754001102375 relative_absolute_error 0.13021084061098906 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 0.1430847859117278 root_mean_squared_error 0.16539706453870165 root_mean_squared_error 0.0926881806506391 root_mean_squared_error 0.17156169064855903 root_mean_squared_error 0.11336781258521436 root_mean_squared_error 0.16249785476299147 root_mean_squared_error 0.1621368369895152 root_mean_squared_error 0.21474569445285185 root_mean_squared_error 0.18404293436432942 root_mean_squared_error 0.17476419417996444 root_relative_squared_error 0.3014404819243665 root_relative_squared_error 0.3484463461697451 root_relative_squared_error 0.19526862807942547 root_relative_squared_error 0.36143352613858787 root_relative_squared_error 0.23883495259573415 root_relative_squared_error 0.34233850467967186 root_relative_squared_error 0.34157793904072903 root_relative_squared_error 0.45241040278723754 root_relative_squared_error 0.3839781794567552 root_relative_squared_error 0.36692996213710316 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 0.9891304347826086 [0.978261,1] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 0.9791666666666667 [1,0.958333] unweighted_recall 0.9673913043478262 [0.934783,1] unweighted_recall 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.9465579710144928 [0.934783,0.958333] unweighted_recall 0.9577777777777778 [0.955556,0.96] unweighted_recall 0.9777777777777779 [0.955556,1] usercpu_time_millis 24.045999998634215 usercpu_time_millis 23.192000000562984 usercpu_time_millis 31.166000000666827 usercpu_time_millis 24.32799999951385 usercpu_time_millis 23.954000000230735 usercpu_time_millis 23.35999999922933 usercpu_time_millis 23.310000000492437 usercpu_time_millis 21.852000001672423 usercpu_time_millis 25.80800000214367 usercpu_time_millis 22.752000000764383 usercpu_time_millis_testing 0.9439999994356185 usercpu_time_millis_testing 0.8280000001832377 usercpu_time_millis_testing 0.9879999997792765 usercpu_time_millis_testing 0.963999998930376 usercpu_time_millis_testing 0.8459999990009237 usercpu_time_millis_testing 0.9040000004461035 usercpu_time_millis_testing 0.8600000001024455 usercpu_time_millis_testing 0.8020000022952445 usercpu_time_millis_testing 0.8780000025581103 usercpu_time_millis_testing 0.8120000020426232 usercpu_time_millis_training 23.101999999198597 usercpu_time_millis_training 22.364000000379747 usercpu_time_millis_training 30.17800000088755 usercpu_time_millis_training 23.364000000583474 usercpu_time_millis_training 23.10800000122981 usercpu_time_millis_training 22.455999998783227 usercpu_time_millis_training 22.45000000038999 usercpu_time_millis_training 21.049999999377178 usercpu_time_millis_training 24.92999999958556 usercpu_time_millis_training 21.93999999872176 wall_clock_time_millis 12.063980102539062 wall_clock_time_millis 11.66987419128418 wall_clock_time_millis 16.385793685913086 wall_clock_time_millis 12.369155883789062 wall_clock_time_millis 12.01772689819336 wall_clock_time_millis 11.752605438232422 wall_clock_time_millis 11.696100234985352 wall_clock_time_millis 10.941028594970703 wall_clock_time_millis 12.986898422241211 wall_clock_time_millis 11.399030685424805 wall_clock_time_millis_testing 0.47588348388671875 wall_clock_time_millis_testing 0.4169940948486328 wall_clock_time_millis_testing 0.49686431884765625 wall_clock_time_millis_testing 0.4851818084716797 wall_clock_time_millis_testing 0.4248619079589844 wall_clock_time_millis_testing 0.4558563232421875 wall_clock_time_millis_testing 0.4341602325439453 wall_clock_time_millis_testing 0.4029273986816406 wall_clock_time_millis_testing 0.4420280456542969 wall_clock_time_millis_testing 0.408172607421875 wall_clock_time_millis_training 11.588096618652344 wall_clock_time_millis_training 11.252880096435547 wall_clock_time_millis_training 15.88892936706543 wall_clock_time_millis_training 11.883974075317383 wall_clock_time_millis_training 11.592864990234375 wall_clock_time_millis_training 11.296749114990234 wall_clock_time_millis_training 11.261940002441406 wall_clock_time_millis_training 10.538101196289062 wall_clock_time_millis_training 12.544870376586914 wall_clock_time_millis_training 10.99085807800293 weighted_recall 0.9857142857142858 [0.978261,1] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 0.9857142857142858 [1,0.958333] weighted_recall 0.9571428571428572 [0.934783,1] weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9428571428571428 [0.934783,0.958333] weighted_recall 0.9571428571428572 [0.955556,0.96] weighted_recall 0.9710144927536232 [0.955556,1]