10314725 8323 Heinrich Peters 9977 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8173597 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 3 15084 gamma 0.01 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 1000 15084 n_epoch 2 15084 random_state 23273 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21551096 description https://api.openml.org/data/download/21551096/description.xml -1 21551097 predictions https://api.openml.org/data/download/21551097/predictions.arff area_under_roc_curve 0.9532460805527359 [0.953246,0.953246] average_cost 0 f_measure 0.9626478507003208 [0.934455,0.97392] kappa 0.9083751733899249 kb_relative_information_score 0.9008575123800153 mean_absolute_error 0.03731321630639779 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9626179761408106 [0.937705,0.972579] predictive_accuracy 0.9626867836936022 prior_entropy 0.8629999933345911 recall 0.9626867836936022 [0.931227,0.975265] relative_absolute_error 0.09143369833194136 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19316629184823575 root_relative_squared_error 0.4276327706409522 total_cost 0 area_under_roc_curve 0.951031361714348 [0.951031,0.951031] area_under_roc_curve 0.9518735541654467 [0.951874,0.951874] area_under_roc_curve 0.9502511267715983 [0.950251,0.950251] area_under_roc_curve 0.958576453463199 [0.958576,0.958576] area_under_roc_curve 0.9496428969060687 [0.949643,0.949643] area_under_roc_curve 0.9503142893939094 [0.950314,0.950314] area_under_roc_curve 0.955700633367016 [0.955701,0.955701] area_under_roc_curve 0.9592575439361218 [0.959258,0.959258] area_under_roc_curve 0.9536681130418129 [0.953668,0.953668] area_under_roc_curve 0.9521412461281396 [0.952141,0.952141] 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 0.9613502699434902 [0.932039,0.973061] f_measure 0.9534199444226026 [0.920276,0.96668] f_measure 0.9602126408362919 [0.930209,0.972217] f_measure 0.966897370692545 [0.941955,0.976876] f_measure 0.9635128619285599 [0.935267,0.974814] f_measure 0.9615876836150455 [0.932308,0.97329] f_measure 0.9645640438213596 [0.937819,0.975254] f_measure 0.9666330594227904 [0.941595,0.97664] f_measure 0.9633795497832622 [0.935649,0.974463] f_measure 0.9649903214003749 [0.937952,0.975797] kappa 0.905100586534849 kappa 0.8869999356498575 kappa 0.9024259468519471 kappa 0.918831763017947 kappa 0.9100945908190172 kappa 0.9056010319984261 kappa 0.91307242572288 kappa 0.918234986570227 kappa 0.9101124618978494 kappa 0.9137595193623979 kb_relative_information_score 0.8974555172486481 kb_relative_information_score 0.8751517109480779 kb_relative_information_score 0.8944184222215231 kb_relative_information_score 0.9121437965930937 kb_relative_information_score 0.9036664436327784 kb_relative_information_score 0.8982099195437339 kb_relative_information_score 0.9059212892752707 kb_relative_information_score 0.9113192480873448 kb_relative_information_score 0.9028367413826559 kb_relative_information_score 0.9074635632215775 mean_absolute_error 0.03858427618218741 mean_absolute_error 0.04699738903394256 mean_absolute_error 0.03974470554105019 mean_absolute_error 0.03307223672758921 mean_absolute_error 0.03626341746446185 mean_absolute_error 0.038305281485780614 mean_absolute_error 0.035403366221706326 mean_absolute_error 0.033372025536854324 mean_absolute_error 0.03656413232733604 mean_absolute_error 0.034822983168891465 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9613085319444168 [0.937307,0.970897] precision 0.9545519628795605 [0.893028,0.979167] precision 0.9601795462876106 [0.933538,0.970838] precision 0.9668740693791523 [0.944842,0.975689] precision 0.9635932582685995 [0.954545,0.967213] precision 0.961544469830954 [0.940994,0.969758] precision 0.9645385267995543 [0.940695,0.974068] precision 0.9666383406651751 [0.941117,0.976839] precision 0.9633428898316737 [0.940452,0.972492] precision 0.9650348029125674 [0.954737,0.969151] predictive_accuracy 0.9614157238178126 predictive_accuracy 0.9530026109660574 predictive_accuracy 0.9602552944589497 predictive_accuracy 0.9669277632724108 predictive_accuracy 0.9637365825355382 predictive_accuracy 0.9616947185142193 predictive_accuracy 0.9645966337782937 predictive_accuracy 0.9666279744631457 predictive_accuracy 0.963435867672664 predictive_accuracy 0.9651770168311086 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 recall 0.9614157238178126 [0.926829,0.975233] recall 0.9530026109660574 [0.949239,0.954509] recall 0.9602552944589499 [0.926904,0.973599] recall 0.9669277632724108 [0.939086,0.978067] recall 0.9637365825355382 [0.916751,0.982535] recall 0.9616947185142194 [0.92378,0.976848] recall 0.9645966337782936 [0.934959,0.976442] recall 0.9666279744631456 [0.942073,0.976442] recall 0.963435867672664 [0.930894,0.976442] recall 0.9651770168311086 [0.921748,0.982535] relative_absolute_error 0.09456399534592926 relative_absolute_error 0.11514811183752093 relative_absolute_error 0.09737834149222449 relative_absolute_error 0.08103015277455178 relative_absolute_error 0.0888488517264822 relative_absolute_error 0.09387205224365673 relative_absolute_error 0.08676053313428879 relative_absolute_error 0.08178246975773124 relative_absolute_error 0.08960514077803597 relative_absolute_error 0.0853382293124152 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.19642880690516706 root_mean_squared_error 0.21678881205897724 root_mean_squared_error 0.19936074222637262 root_mean_squared_error 0.18185773760714502 root_mean_squared_error 0.19042956037459585 root_mean_squared_error 0.19571735100849033 root_mean_squared_error 0.1881578226428716 root_mean_squared_error 0.18268011806667503 root_mean_squared_error 0.19121750005513627 root_mean_squared_error 0.18660917225284362 root_relative_squared_error 0.4349273075288852 root_relative_squared_error 0.47986159592826527 root_relative_squared_error 0.4412845986912135 root_relative_squared_error 0.40254173345591054 root_relative_squared_error 0.4215154457713053 root_relative_squared_error 0.4333142989596708 root_relative_squared_error 0.416577654419291 root_relative_squared_error 0.4044501260927922 root_relative_squared_error 0.423351718987949 root_relative_squared_error 0.4131489734432263 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 133984.41917300806 usercpu_time_millis 136292.95070600347 usercpu_time_millis 131105.59054299665 usercpu_time_millis 159817.28658000065 usercpu_time_millis 141792.95962800097 usercpu_time_millis 158306.6869250033 usercpu_time_millis 172811.60114100203 usercpu_time_millis 184138.8076209987 usercpu_time_millis 133112.75681498228 usercpu_time_millis 99244.52479300089 usercpu_time_millis_testing 7182.804504001979 usercpu_time_millis_testing 7227.448806006578 usercpu_time_millis_testing 5381.461541997851 usercpu_time_millis_testing 8758.343209003215 usercpu_time_millis_testing 8509.06596200366 usercpu_time_millis_testing 8394.583564004279 usercpu_time_millis_testing 9127.574497004389 usercpu_time_millis_testing 6981.548098003259 usercpu_time_millis_testing 5344.423107992043 usercpu_time_millis_testing 5111.350249004317 usercpu_time_millis_training 126801.61466900609 usercpu_time_millis_training 129065.50189999689 usercpu_time_millis_training 125724.1290009988 usercpu_time_millis_training 151058.94337099744 usercpu_time_millis_training 133283.8936659973 usercpu_time_millis_training 149912.10336099903 usercpu_time_millis_training 163684.02664399764 usercpu_time_millis_training 177157.25952299545 usercpu_time_millis_training 127768.33370699023 usercpu_time_millis_training 94133.17454399657 wall_clock_time_millis 134003.56888771057 wall_clock_time_millis 136347.71418571472 wall_clock_time_millis 131163.78831863403 wall_clock_time_millis 160227.2412776947 wall_clock_time_millis 141809.2713356018 wall_clock_time_millis 158319.62394714355 wall_clock_time_millis 172831.8543434143 wall_clock_time_millis 184165.1005744934 wall_clock_time_millis 133121.49286270142 wall_clock_time_millis 99252.0363330841 wall_clock_time_millis_testing 7183.153867721558 wall_clock_time_millis_testing 7227.7514934539795 wall_clock_time_millis_testing 5383.756875991821 wall_clock_time_millis_testing 8758.739233016968 wall_clock_time_millis_testing 8513.949155807495 wall_clock_time_millis_testing 8395.423889160156 wall_clock_time_millis_testing 9131.813049316406 wall_clock_time_millis_testing 6981.909275054932 wall_clock_time_millis_testing 5346.257448196411 wall_clock_time_millis_testing 5111.539602279663 wall_clock_time_millis_training 126820.41501998901 wall_clock_time_millis_training 129119.96269226074 wall_clock_time_millis_training 125780.03144264221 wall_clock_time_millis_training 151468.50204467773 wall_clock_time_millis_training 133295.3221797943 wall_clock_time_millis_training 149924.2000579834 wall_clock_time_millis_training 163700.0412940979 wall_clock_time_millis_training 177183.19129943848 wall_clock_time_millis_training 127775.235414505 wall_clock_time_millis_training 94140.49673080444