10330549 8323 Heinrich Peters 14970 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186135 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 0.40314521746072823 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2614617204682821 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.00010783726568112908 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 50037 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. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 21582797 description https://api.openml.org/data/download/21582797/description.xml -1 21582798 predictions https://api.openml.org/data/download/21582798/predictions.arff area_under_roc_curve 0.9410162361608587 [0.971816,0.966558,0.927769,0.84722,0.939688,0.99007] average_cost 0 f_measure 0.9012705804650767 [0.95216,0.912963,0.909433,0.79873,0.852248,0.982798] kappa 0.8825165201681793 kb_relative_information_score 0.8915229645263659 mean_absolute_error 0.03252742984755786 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9088947131537358 [0.950782,0.872052,0.964143,0.916242,0.779713,0.981035] predictive_accuracy 0.9024177104573259 prior_entropy 2.575922879508845 recall 0.902417710457326 [0.953542,0.957902,0.860597,0.707935,0.939664,0.984568] relative_absolute_error 0.11738746027931418 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.1803536244369873 root_relative_squared_error 0.4845361261962672 total_cost 0 area_under_roc_curve 0.9471765294526081 [0.972089,0.974525,0.936477,0.852047,0.951048,0.994432] area_under_roc_curve 0.9470696222115883 [0.970923,0.98212,0.945305,0.856491,0.945217,0.984123] area_under_roc_curve 0.9401740540431646 [0.987193,0.949862,0.91862,0.858588,0.930106,0.991072] area_under_roc_curve 0.9418566739815638 [0.970347,0.972442,0.949964,0.826179,0.941197,0.993051] area_under_roc_curve 0.9314301211436936 [0.973934,0.966072,0.896038,0.832133,0.923465,0.990659] area_under_roc_curve 0.9396664754847116 [0.958927,0.974456,0.919908,0.833558,0.951472,0.99503] area_under_roc_curve 0.9494120713210772 [0.973241,0.975775,0.949792,0.87498,0.941635,0.982819] area_under_roc_curve 0.9366348840629721 [0.965103,0.968355,0.917315,0.837013,0.934383,0.993075] area_under_roc_curve 0.9412190125235066 [0.975565,0.964323,0.926266,0.837705,0.948302,0.990511] area_under_roc_curve 0.935528005975461 [0.9709,0.937584,0.918054,0.863492,0.930072,0.98598] 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 0.911300748517633 [0.964497,0.920732,0.91791,0.811502,0.869359,0.984694] f_measure 0.9117494367979452 [0.958824,0.932927,0.93633,0.81388,0.861905,0.974227] f_measure 0.9000786055425686 [0.960452,0.899371,0.897338,0.806154,0.847458,0.98708] f_measure 0.9023328477930491 [0.967164,0.923077,0.927536,0.77377,0.84186,0.987147] f_measure 0.8844618633860648 [0.951289,0.892216,0.878431,0.767296,0.836983,0.977099] f_measure 0.8979821895986642 [0.943953,0.920245,0.885609,0.789474,0.857809,0.987212] f_measure 0.9162800041207936 [0.948276,0.940063,0.944238,0.834356,0.861985,0.976744] f_measure 0.8938042256412694 [0.94186,0.90303,0.904215,0.782051,0.843602,0.987212] f_measure 0.9012888144388298 [0.948571,0.921136,0.906367,0.793443,0.853828,0.984615] f_measure 0.8926830704051937 [0.9375,0.876972,0.893939,0.812308,0.847458,0.981912] kappa 0.8948074363312647 kappa 0.8948135237809943 kappa 0.8807628183375118 kappa 0.8843146976038156 kappa 0.8632343027571038 kappa 0.87962210714075 kappa 0.8994921277532439 kappa 0.873742418189082 kappa 0.8830734650554266 kappa 0.8712844603192472 kb_relative_information_score 0.902875033193583 kb_relative_information_score 0.9034185161176188 kb_relative_information_score 0.8895687251091574 kb_relative_information_score 0.8937752935298547 kb_relative_information_score 0.8733620068187331 kb_relative_information_score 0.8885963500756566 kb_relative_information_score 0.9076998821020762 kb_relative_information_score 0.8833099087959415 kb_relative_information_score 0.8918184395293687 kb_relative_information_score 0.8807951273873094 mean_absolute_error 0.029126213592232972 mean_absolute_error 0.029126213592232972 mean_absolute_error 0.033009708737864046 mean_absolute_error 0.03203883495145627 mean_absolute_error 0.037864077669902914 mean_absolute_error 0.0333333333333333 mean_absolute_error 0.027831715210355955 mean_absolute_error 0.03495145631067959 mean_absolute_error 0.03236245954692553 mean_absolute_error 0.03563330093942337 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.2771076974290587 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27709513558158777 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.27708065643484137 number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [172,154,141,178,190,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1029 [172,154,140,177,191,195] precision 0.9196449133751009 [0.981928,0.872832,0.960938,0.940741,0.795652,0.974747] precision 0.9193363717800921 [0.970238,0.884393,0.984252,0.928058,0.790393,0.974227] precision 0.9049790578152376 [0.934066,0.877301,0.95935,0.891156,0.788288,0.989637] precision 0.9136808331077866 [0.993865,0.882353,0.948148,0.929134,0.754167,0.984615] precision 0.8925611809625218 [0.943182,0.827778,0.982456,0.871429,0.778281,0.964824] precision 0.9097709063534534 [0.963855,0.872093,0.923077,0.952381,0.769874,0.979695] precision 0.9214576009977176 [0.9375,0.91411,0.992188,0.918919,0.798206,0.984375] precision 0.9030809231606735 [0.94186,0.846591,0.983333,0.903704,0.770563,0.984694] precision 0.9121374295406469 [0.932584,0.895706,0.960317,0.945312,0.766667,0.984615] precision 0.8975843580373573 [0.916667,0.852761,0.951613,0.891892,0.788288,0.989583] predictive_accuracy 0.912621359223301 predictive_accuracy 0.912621359223301 predictive_accuracy 0.9009708737864078 predictive_accuracy 0.903883495145631 predictive_accuracy 0.8864077669902913 predictive_accuracy 0.9 predictive_accuracy 0.916504854368932 predictive_accuracy 0.8951456310679612 predictive_accuracy 0.9029126213592232 predictive_accuracy 0.8931000971817298 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.57626843373114 prior_entropy 2.5761156998831467 prior_entropy 2.5761156998831467 prior_entropy 2.575945945073779 prior_entropy 2.575847838744184 prior_entropy 2.575847838744184 prior_entropy 2.5755594010061413 recall 0.912621359223301 [0.947674,0.974194,0.878571,0.713483,0.958115,0.994845] recall 0.912621359223301 [0.947674,0.987097,0.892857,0.724719,0.947644,0.974227] recall 0.9009708737864077 [0.988372,0.922581,0.842857,0.735955,0.91623,0.984536] recall 0.903883495145631 [0.94186,0.967742,0.907801,0.662921,0.952632,0.989691] recall 0.8864077669902912 [0.959538,0.967532,0.794326,0.685393,0.905263,0.989691] recall 0.9 [0.924855,0.974026,0.851064,0.674157,0.968421,0.994845] recall 0.916504854368932 [0.959302,0.967532,0.900709,0.764045,0.936842,0.969231] recall 0.8951456310679612 [0.94186,0.967532,0.836879,0.689266,0.931937,0.989744] recall 0.9029126213592233 [0.965116,0.948052,0.858156,0.683616,0.963351,0.984615] recall 0.8931000971817298 [0.959302,0.902597,0.842857,0.745763,0.91623,0.974359] relative_absolute_error 0.10511387591564576 relative_absolute_error 0.10511387591564576 relative_absolute_error 0.11912905937106523 relative_absolute_error 0.11561871160095943 relative_absolute_error 0.13664305199345955 relative_absolute_error 0.12029260132757537 relative_absolute_error 0.10044100973458336 relative_absolute_error 0.12613706568060717 relative_absolute_error 0.11679357933389545 relative_absolute_error 0.12860262927738134 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.3722367592572026 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722198854102689 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.3722004351798735 root_mean_squared_error 0.17066403719657217 root_mean_squared_error 0.17066403719657217 root_mean_squared_error 0.18168574170216012 root_mean_squared_error 0.17899395227620477 root_mean_squared_error 0.1945869411597369 root_mean_squared_error 0.18257418583505527 root_mean_squared_error 0.1668284004909115 root_mean_squared_error 0.1869530858549267 root_mean_squared_error 0.17989569074028852 root_mean_squared_error 0.1887678493266885 root_relative_squared_error 0.45850847346243406 root_relative_squared_error 0.45850847346243406 root_relative_squared_error 0.48811954437592964 root_relative_squared_error 0.4808604948995008 root_relative_squared_error 0.5227610159698662 root_relative_squared_error 0.49048855132912306 root_relative_squared_error 0.4481985166027053 root_relative_squared_error 0.5022725183133049 root_relative_squared_error 0.48331195609122957 root_relative_squared_error 0.5071671913426501 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 54644.268797987024 usercpu_time_millis 55759.466395989875 usercpu_time_millis 54846.253673007595 usercpu_time_millis 54574.32283500384 usercpu_time_millis 55018.28201398894 usercpu_time_millis 53904.62499098794 usercpu_time_millis 55516.19843899971 usercpu_time_millis 54067.38352301181 usercpu_time_millis 55655.8730120305 usercpu_time_millis 54566.22902699746 usercpu_time_millis_testing 8229.285726993112 usercpu_time_millis_testing 8371.757037995849 usercpu_time_millis_testing 7998.942698002793 usercpu_time_millis_testing 8029.059719003271 usercpu_time_millis_testing 8276.806381996721 usercpu_time_millis_testing 7968.225100994459 usercpu_time_millis_testing 8324.58059900091 usercpu_time_millis_testing 8071.1395959951915 usercpu_time_millis_testing 8379.011253011413 usercpu_time_millis_testing 8029.898017004598 usercpu_time_millis_training 46414.98307099391 usercpu_time_millis_training 47387.70935799403 usercpu_time_millis_training 46847.3109750048 usercpu_time_millis_training 46545.26311600057 usercpu_time_millis_training 46741.475631992216 usercpu_time_millis_training 45936.39988999348 usercpu_time_millis_training 47191.6178399988 usercpu_time_millis_training 45996.24392701662 usercpu_time_millis_training 47276.861759019084 usercpu_time_millis_training 46536.331009992864 wall_clock_time_millis 60873.324155807495 wall_clock_time_millis 60761.37828826904 wall_clock_time_millis 58525.9735584259 wall_clock_time_millis 58160.54391860962 wall_clock_time_millis 56597.26595878601 wall_clock_time_millis 55643.78333091736 wall_clock_time_millis 56210.44874191284 wall_clock_time_millis 54218.581199645996 wall_clock_time_millis 55692.20232963562 wall_clock_time_millis 58795.67003250122 wall_clock_time_millis_testing 9235.498189926147 wall_clock_time_millis_testing 8843.22738647461 wall_clock_time_millis_testing 8608.131408691406 wall_clock_time_millis_testing 9320.955514907837 wall_clock_time_millis_testing 8277.449607849121 wall_clock_time_millis_testing 9259.987354278564 wall_clock_time_millis_testing 8341.315269470215 wall_clock_time_millis_testing 8090.703964233398 wall_clock_time_millis_testing 8379.788160324097 wall_clock_time_millis_testing 8030.569314956665 wall_clock_time_millis_training 51637.82596588135 wall_clock_time_millis_training 51918.15090179443 wall_clock_time_millis_training 49917.8421497345 wall_clock_time_millis_training 48839.58840370178 wall_clock_time_millis_training 48319.81635093689 wall_clock_time_millis_training 46383.795976638794 wall_clock_time_millis_training 47869.13347244263 wall_clock_time_millis_training 46127.8772354126 wall_clock_time_millis_training 47312.41416931152 wall_clock_time_millis_training 50765.100717544556