10559100 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) 8270380 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 48.87822691420151 17495 cache_size 200 17495 class_weight null 17495 coef0 0.8702718498857454 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 0.29017877561467303 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 22043164 description https://api.openml.org/data/download/22043164/description.xml -1 22043165 predictions https://api.openml.org/data/download/22043165/predictions.arff area_under_roc_curve 0.989834930873906 [0.989835,0.989835] average_cost 0 f_measure 0.9516270268222787 [0.962389,0.931174] kappa 0.8935977793696275 kb_relative_information_score 0.8636929949073624 mean_absolute_error 0.06483952840645667 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9513590844062947 [0.949782,0.954357] number_of_instances 699 [458,241] precision 0.9524963447286818 [0.975336,0.909091] predictive_accuracy 0.9513590844062947 prior_entropy 0.92931856324281 relative_absolute_error 0.14346618536332575 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.18124552811970396 root_relative_squared_error 0.38133180307098363 total_cost 0 unweighted_recall 0.9520692529308377 [0.949782,0.954357] area_under_roc_curve 0.9927536231884058 [0.992754,0.992754] area_under_roc_curve 0.9927536231884058 [0.992754,0.992754] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9818840579710145 [0.981884,0.981884] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9855072463768116 [0.985507,0.985507] area_under_roc_curve 0.9927536231884058 [0.992754,0.992754] area_under_roc_curve 0.9818840579710145 [0.981884,0.981884] area_under_roc_curve 0.9777777777777777 [0.977778,0.977778] area_under_roc_curve 0.9935185185185185 [0.993519,0.993519] 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 0.9433650793650794 [0.955556,0.92] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 1 [1,1] f_measure 0.9437562437562438 [0.954545,0.923077] f_measure 0.985781565373402 [0.989011,0.979592] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9133342143517906 [0.93617,0.869565] f_measure 0.915047619047619 [0.933333,0.88] f_measure 0.9428571428571428 [0.955556,0.92] f_measure 0.9284181438692417 [0.942529,0.901961] kappa 0.8756660746003552 kappa 0.9378330373001776 kappa 1 kappa 0.8780487804878049 kappa 0.9686098654708521 kappa 0.9365942028985507 kappa 0.8059149722735673 kappa 0.8134991119005328 kappa 0.8755555555555555 kappa 0.844804318488529 kb_relative_information_score 0.8427854684047835 kb_relative_information_score 0.8893479790432578 kb_relative_information_score 0.9462259071873307 kb_relative_information_score 0.8515455371376573 kb_relative_information_score 0.9188972950282678 kb_relative_information_score 0.8875558078625457 kb_relative_information_score 0.8324226034140788 kb_relative_information_score 0.8048694812861776 kb_relative_information_score 0.8366209574900871 kb_relative_information_score 0.8266958510986367 mean_absolute_error 0.07240861814794614 mean_absolute_error 0.05531224284465912 mean_absolute_error 0.03093096039263213 mean_absolute_error 0.06799702229922706 mean_absolute_error 0.043121138183319335 mean_absolute_error 0.05551172033052838 mean_absolute_error 0.07601300506679842 mean_absolute_error 0.08779205442260272 mean_absolute_error 0.07984309232291095 mean_absolute_error 0.07967739964303602 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 0.9455044955044954 [0.977273,0.884615] precision 0.9736263736263737 [1,0.923077] precision 1 [1,1] precision 0.9510204081632653 [1,0.857143] precision 0.9862857142857142 [1,0.96] precision 0.9714285714285714 [0.978261,0.958333] precision 0.914069264069264 [0.916667,0.909091] precision 0.9173826173826175 [0.954545,0.846154] precision 0.9428571428571428 [0.955556,0.92] precision 0.9329422590292156 [0.97619,0.851852] predictive_accuracy 0.942857142857143 predictive_accuracy 0.9714285714285714 predictive_accuracy 1 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.942857142857143 predictive_accuracy 0.927536231884058 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 0.16042490936065185 relative_absolute_error 0.12254703613813543 relative_absolute_error 0.0685290873427153 relative_absolute_error 0.15065079845688426 relative_absolute_error 0.09553703497631752 relative_absolute_error 0.12298898846934386 relative_absolute_error 0.1684106085708777 relative_absolute_error 0.19450768062656296 relative_absolute_error 0.1751799928587186 relative_absolute_error 0.17592970616881265 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 0.20350218154703067 root_mean_squared_error 0.1614482239892832 root_mean_squared_error 0.0752331224910448 root_mean_squared_error 0.19836315153553347 root_mean_squared_error 0.11328035207764543 root_mean_squared_error 0.17561755222902026 root_mean_squared_error 0.18684257231801693 root_mean_squared_error 0.22965904305768603 root_mean_squared_error 0.19597321195680514 root_mean_squared_error 0.21557953675309907 root_relative_squared_error 0.4287233984194603 root_relative_squared_error 0.340127219921106 root_relative_squared_error 0.15849559794824167 root_relative_squared_error 0.41789686872646287 root_relative_squared_error 0.23865069724403526 root_relative_squared_error 0.36997811640821304 root_relative_squared_error 0.3936261614723845 root_relative_squared_error 0.48382874654686453 root_relative_squared_error 0.40886892729336666 root_relative_squared_error 0.45262470169886476 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 0.9465579710144928 [0.934783,0.958333] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 1 [1,1] unweighted_recall 0.9565217391304348 [0.913043,1] unweighted_recall 0.9891304347826086 [0.978261,1] unweighted_recall 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.894927536231884 [0.956522,0.833333] unweighted_recall 0.9148550724637681 [0.913043,0.916667] unweighted_recall 0.9377777777777778 [0.955556,0.92] unweighted_recall 0.9347222222222222 [0.911111,0.958333] usercpu_time_millis 32.884000000194646 usercpu_time_millis 33.53599999900325 usercpu_time_millis 37.81200000230456 usercpu_time_millis 33.69199999724515 usercpu_time_millis 37.73000000001048 usercpu_time_millis 33.527999999932945 usercpu_time_millis 35.373999999137595 usercpu_time_millis 32.76399999958812 usercpu_time_millis 33.43200000017532 usercpu_time_millis 32.768000000942266 usercpu_time_millis_testing 1.012000000628177 usercpu_time_millis_testing 1.029999999445863 usercpu_time_millis_testing 1.0680000013962854 usercpu_time_millis_testing 1.0499999989406206 usercpu_time_millis_testing 1.189999999041902 usercpu_time_millis_testing 1.0320000001229346 usercpu_time_millis_testing 1.056000000971835 usercpu_time_millis_testing 1.0419999998703133 usercpu_time_millis_testing 1.0419999998703133 usercpu_time_millis_testing 1.007999999274034 usercpu_time_millis_training 31.87199999956647 usercpu_time_millis_training 32.50599999955739 usercpu_time_millis_training 36.74400000090827 usercpu_time_millis_training 32.64199999830453 usercpu_time_millis_training 36.540000000968575 usercpu_time_millis_training 32.49599999981001 usercpu_time_millis_training 34.31799999816576 usercpu_time_millis_training 31.72199999971781 usercpu_time_millis_training 32.39000000030501 usercpu_time_millis_training 31.76000000166823 wall_clock_time_millis 16.469955444335938 wall_clock_time_millis 16.841888427734375 wall_clock_time_millis 19.010543823242188 wall_clock_time_millis 16.952037811279297 wall_clock_time_millis 19.025087356567383 wall_clock_time_millis 16.826629638671875 wall_clock_time_millis 17.97199249267578 wall_clock_time_millis 16.459941864013672 wall_clock_time_millis 16.78013801574707 wall_clock_time_millis 16.440153121948242 wall_clock_time_millis_testing 0.5090236663818359 wall_clock_time_millis_testing 0.5180835723876953 wall_clock_time_millis_testing 0.5366802215576172 wall_clock_time_millis_testing 0.5280971527099609 wall_clock_time_millis_testing 0.5979537963867188 wall_clock_time_millis_testing 0.518798828125 wall_clock_time_millis_testing 0.5309581756591797 wall_clock_time_millis_testing 0.5230903625488281 wall_clock_time_millis_testing 0.5240440368652344 wall_clock_time_millis_testing 0.507354736328125 wall_clock_time_millis_training 15.960931777954102 wall_clock_time_millis_training 16.32380485534668 wall_clock_time_millis_training 18.47386360168457 wall_clock_time_millis_training 16.423940658569336 wall_clock_time_millis_training 18.427133560180664 wall_clock_time_millis_training 16.307830810546875 wall_clock_time_millis_training 17.4410343170166 wall_clock_time_millis_training 15.936851501464844 wall_clock_time_millis_training 16.256093978881836 wall_clock_time_millis_training 15.932798385620117 weighted_recall 0.9428571428571428 [0.934783,0.958333] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 1 [1,1] weighted_recall 0.9428571428571428 [0.913043,1] weighted_recall 0.9857142857142858 [0.978261,1] weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9142857142857143 [0.956522,0.833333] weighted_recall 0.9142857142857143 [0.913043,0.916667] weighted_recall 0.9428571428571428 [0.955556,0.92] weighted_recall 0.927536231884058 [0.911111,0.958333]