10330631 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) 8186200 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 326.31131040223244 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5116187321824732 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.00010216486460066312 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 28940 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 21582961 description https://api.openml.org/data/download/21582961/description.xml -1 21582962 predictions https://api.openml.org/data/download/21582962/predictions.arff area_under_roc_curve 0.9912653355442649 [0.998954,0.999505,0.999233,0.976748,0.976393,1] average_cost 0 f_measure 0.9856290299922871 [0.998258,0.998706,0.998933,0.960135,0.962924,1] kappa 0.9827133118381762 kb_relative_information_score 0.9845260048201225 mean_absolute_error 0.004790109072078203 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9856322145552762 [0.998258,0.99806,0.999288,0.957983,0.965208,1] predictive_accuracy 0.9856296727837655 prior_entropy 2.575922879508845 recall 0.9856296727837655 [0.998258,0.999352,0.998578,0.962296,0.960651,1] relative_absolute_error 0.01728690957347125 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.06921061386867049 root_relative_squared_error 0.1859404979538288 total_cost 0 area_under_roc_curve 0.9946882702652147 [0.997093,0.999429,1,0.984194,0.989167,1] area_under_roc_curve 0.9905598739367142 [0.999417,1,0.996429,0.977864,0.972864,1] area_under_roc_curve 0.986989177816202 [1,1,1,0.962646,0.964649,1] area_under_roc_curve 0.9917497768764819 [0.997093,1,0.999438,0.976816,0.980044,1] area_under_roc_curve 0.9917742757917366 [0.99711,0.998858,1,0.979038,0.978603,1] area_under_roc_curve 0.99231220657277 [1,1,1,0.976816,0.980044,1] area_under_roc_curve 0.9940936411006833 [0.999417,0.996753,1,0.983608,0.986497,1] area_under_roc_curve 0.987016307863853 [1,1,1,0.966956,0.960605,1] area_under_roc_curve 0.9911488164188094 [1,1,1,0.977775,0.972864,1] area_under_roc_curve 0.9923252946514948 [0.999417,1,0.996429,0.981768,0.978692,1] 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 0.9912605674314283 [0.997085,0.996785,1,0.977401,0.979167,1] f_measure 0.9844688975735506 [0.997101,1,0.996416,0.958217,0.960422,1] f_measure 0.9786407766990292 [1,1,1,0.938202,0.942408,1] f_measure 0.9864068539483533 [0.997085,1,0.996466,0.96338,0.965879,1] f_measure 0.9863994792123378 [0.997101,0.993548,1,0.963585,0.968254,1] f_measure 0.9873774276779603 [1,1,1,0.96338,0.965879,1] f_measure 0.9902902481341275 [0.997101,0.996743,1,0.974648,0.976378,1] f_measure 0.9786470902053698 [1,1,1,0.938547,0.941799,1] f_measure 0.9854404451023948 [1,1,1,0.957983,0.960422,1] f_measure 0.9873681108634278 [0.997101,1,0.996416,0.966292,0.968421,1] kappa 0.9894883776836104 kappa 0.9813130104762801 kappa 0.9743051854539683 kappa 0.9836509604777276 kappa 0.9836511829083435 kappa 0.9848175957149109 kappa 0.9883204064044995 kappa 0.9743066421752046 kappa 0.9824815233931191 kappa 0.984800625382058 kb_relative_information_score 0.9905495525476685 kb_relative_information_score 0.9832285236172605 kb_relative_information_score 0.9770413858164 kb_relative_information_score 0.9853490070671094 kb_relative_information_score 0.9853779330644771 kb_relative_information_score 0.9864200874361946 kb_relative_information_score 0.9894731690760189 kb_relative_information_score 0.977101028607923 kb_relative_information_score 0.9843911282867687 kb_relative_information_score 0.9863295714311022 mean_absolute_error 0.002912621359223301 mean_absolute_error 0.00517799352750809 mean_absolute_error 0.0071197411003236215 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.004207119741100323 mean_absolute_error 0.003236245954692557 mean_absolute_error 0.0071197411003236215 mean_absolute_error 0.004854368932038834 mean_absolute_error 0.004211208292840945 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 0.9912855658435165 [1,0.99359,1,0.982955,0.974093,1] precision 0.9845235018802797 [0.99422,1,1,0.950276,0.968085,1] precision 0.9786407766990292 [1,1,1,0.938202,0.942408,1] precision 0.9864172749156271 [1,1,0.992958,0.966102,0.963351,1] precision 0.9864189860985735 [1,0.987179,1,0.960894,0.973404,1] precision 0.987381311562694 [1,1,1,0.966102,0.963351,1] precision 0.9903003490167336 [0.99422,1,1,0.977401,0.973822,1] precision 0.9787327955812578 [1,1,1,0.928177,0.951872,1] precision 0.9854895682710184 [1,1,1,0.95,0.968085,1] precision 0.9873965817146876 [0.99422,1,1,0.960894,0.973545,1] predictive_accuracy 0.9912621359223301 predictive_accuracy 0.9844660194174757 predictive_accuracy 0.9786407766990292 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.987378640776699 predictive_accuracy 0.9902912621359223 predictive_accuracy 0.9786407766990292 predictive_accuracy 0.9854368932038835 predictive_accuracy 0.9873663751214772 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 0.9912621359223301 [0.994186,1,1,0.97191,0.984293,1] recall 0.9844660194174757 [1,1,0.992857,0.966292,0.95288,1] recall 0.9786407766990292 [1,1,1,0.938202,0.942408,1] recall 0.9864077669902913 [0.994186,1,1,0.960674,0.968421,1] recall 0.9864077669902913 [0.99422,1,1,0.966292,0.963158,1] recall 0.987378640776699 [1,1,1,0.960674,0.968421,1] recall 0.9902912621359223 [1,0.993506,1,0.97191,0.978947,1] recall 0.9786407766990292 [1,1,1,0.949153,0.931937,1] recall 0.9854368932038835 [1,1,1,0.966102,0.95288,1] recall 0.9873663751214772 [1,1,0.992857,0.971751,0.963351,1] relative_absolute_error 0.01051138759156459 relative_absolute_error 0.0186869112738926 relative_absolute_error 0.025694503001602316 relative_absolute_error 0.016350120832458927 relative_absolute_error 0.016350450665884045 relative_absolute_error 0.015182561332606615 relative_absolute_error 0.01167918717843994 relative_absolute_error 0.025694587453457016 relative_absolute_error 0.017519036900084335 relative_absolute_error 0.015198492550963253 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 0.05396870722208659 root_mean_squared_error 0.07195827629611544 root_mean_squared_error 0.08437855829725714 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.0648623137199123 root_mean_squared_error 0.05688801239885743 root_mean_squared_error 0.08437855829725714 root_mean_squared_error 0.06967330142916175 root_mean_squared_error 0.06489382322564255 root_relative_squared_error 0.14499311026281625 root_relative_squared_error 0.19332414701708828 root_relative_squared_error 0.22669265648084314 root_relative_squared_error 0.18082793366522598 root_relative_squared_error 0.18083158140353894 root_relative_squared_error 0.17425367198995545 root_relative_squared_error 0.15283442564105412 root_relative_squared_error 0.22669340157613935 root_relative_squared_error 0.18718591569642629 root_relative_squared_error 0.1743518198582473 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 9039.3334760156 usercpu_time_millis 8712.208460987313 usercpu_time_millis 8764.80176000041 usercpu_time_millis 8941.849477007054 usercpu_time_millis 8760.476504976396 usercpu_time_millis 8756.437775999075 usercpu_time_millis 8741.860745009035 usercpu_time_millis 8732.007317012176 usercpu_time_millis 8733.384152001236 usercpu_time_millis 8751.557466981467 usercpu_time_millis_testing 1143.2812960119918 usercpu_time_millis_testing 1103.4339040052146 usercpu_time_millis_testing 1104.9224809976295 usercpu_time_millis_testing 1160.9551559959073 usercpu_time_millis_testing 1097.8775899857283 usercpu_time_millis_testing 1109.9884969880804 usercpu_time_millis_testing 1144.6992320124991 usercpu_time_millis_testing 1112.0321770140436 usercpu_time_millis_testing 1125.7202790002339 usercpu_time_millis_testing 1126.6917809844017 usercpu_time_millis_training 7896.052180003608 usercpu_time_millis_training 7608.774556982098 usercpu_time_millis_training 7659.87927900278 usercpu_time_millis_training 7780.8943210111465 usercpu_time_millis_training 7662.598914990667 usercpu_time_millis_training 7646.449279010994 usercpu_time_millis_training 7597.161512996536 usercpu_time_millis_training 7619.975139998132 usercpu_time_millis_training 7607.663873001002 usercpu_time_millis_training 7624.865685997065 wall_clock_time_millis 10233.641147613525 wall_clock_time_millis 9504.935264587402 wall_clock_time_millis 10076.200008392334 wall_clock_time_millis 10211.281299591064 wall_clock_time_millis 10239.036083221436 wall_clock_time_millis 9301.19800567627 wall_clock_time_millis 9398.48279953003 wall_clock_time_millis 9090.168237686157 wall_clock_time_millis 9362.32328414917 wall_clock_time_millis 9390.389919281006 wall_clock_time_millis_testing 1247.3835945129395 wall_clock_time_millis_testing 1295.579433441162 wall_clock_time_millis_testing 1209.1002464294434 wall_clock_time_millis_testing 1387.2129917144775 wall_clock_time_millis_testing 1209.9609375 wall_clock_time_millis_testing 1206.0818672180176 wall_clock_time_millis_testing 1240.783929824829 wall_clock_time_millis_testing 1126.7220973968506 wall_clock_time_millis_testing 1189.8047924041748 wall_clock_time_millis_testing 1324.7699737548828 wall_clock_time_millis_training 8986.257553100586 wall_clock_time_millis_training 8209.35583114624 wall_clock_time_millis_training 8867.09976196289 wall_clock_time_millis_training 8824.068307876587 wall_clock_time_millis_training 9029.075145721436 wall_clock_time_millis_training 8095.116138458252 wall_clock_time_millis_training 8157.6988697052 wall_clock_time_millis_training 7963.446140289307 wall_clock_time_millis_training 8172.518491744995 wall_clock_time_millis_training 8065.619945526123