10309161 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) 8170825 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 2 15084 gamma 100000.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 3000 15084 n_epoch 2 15084 random_state 62369 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21539928 description https://api.openml.org/data/download/21539928/description.xml -1 21539929 predictions https://api.openml.org/data/download/21539929/predictions.arff area_under_roc_curve 0.9533171807808324 [0.953317,0.953317] average_cost 0 f_measure 0.9627059411346903 [0.934557,0.973961] kappa 0.9085176692322424 kb_relative_information_score 0.9010116997635632 mean_absolute_error 0.037255186421006815 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9626761279338504 [0.937807,0.972619] predictive_accuracy 0.9627448135789932 prior_entropy 0.8629999933345911 recall 0.9627448135789932 [0.931329,0.975306] relative_absolute_error 0.09129149973422448 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19301602633202977 root_relative_squared_error 0.4273001118814341 total_cost 0 area_under_roc_curve 0.953164765356545 [0.953165,0.953165] area_under_roc_curve 0.9570534046439897 [0.957053,0.957053] area_under_roc_curve 0.9499459809407563 [0.949946,0.949946] area_under_roc_curve 0.9529924909384059 [0.952992,0.952992] area_under_roc_curve 0.9535003113312193 [0.9535,0.9535] area_under_roc_curve 0.9435104647553381 [0.94351,0.94351] area_under_roc_curve 0.9537708948372992 [0.953771,0.953771] area_under_roc_curve 0.9609841955446362 [0.960984,0.960984] area_under_roc_curve 0.9581385019780337 [0.958139,0.958139] area_under_roc_curve 0.9501087258029364 [0.950109,0.950109] 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 0.9630938667881448 [0.935105,0.974276] f_measure 0.9651764969324559 [0.939024,0.975639] f_measure 0.9577208120214641 [0.926337,0.970277] f_measure 0.9628091620507134 [0.934694,0.974058] f_measure 0.9639376655514067 [0.93654,0.974899] f_measure 0.9524946732339148 [0.917172,0.966612] f_measure 0.9622751015670342 [0.933943,0.973599] f_measure 0.9686401194240947 [0.94501,0.978084] f_measure 0.9671527449965142 [0.942259,0.977102] f_measure 0.9637997919780444 [0.935751,0.97501] kappa 0.9093817630821491 kappa 0.9146638895227045 kappa 0.8966154354353368 kappa 0.9087523808932925 kappa 0.9114415639630142 kappa 0.8837858156938418 kappa 0.9075417896745985 kappa 0.9230947260184521 kappa 0.9193618996064991 kappa 0.9107748255813468 kb_relative_information_score 0.9020815841396862 kb_relative_information_score 0.9075197858874676 kb_relative_information_score 0.8874824061630828 kb_relative_information_score 0.9013544382799649 kb_relative_information_score 0.9044371120837156 kb_relative_information_score 0.8735335364028203 kb_relative_information_score 0.8997521934900418 kb_relative_information_score 0.9167172068994196 kb_relative_information_score 0.9128615220336523 kb_relative_information_score 0.9043790153289629 mean_absolute_error 0.03684363214389324 mean_absolute_error 0.034812880765883375 mean_absolute_error 0.04235567159849144 mean_absolute_error 0.03713373948360894 mean_absolute_error 0.03597331012474616 mean_absolute_error 0.04759141033081834 mean_absolute_error 0.03772489843296576 mean_absolute_error 0.03134068485200232 mean_absolute_error 0.032791642484039464 mean_absolute_error 0.035983749274521186 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 0.9630551455219761 [0.940391,0.97211] precision 0.9651666586293162 [0.93998,0.975244] precision 0.9578249751355865 [0.920762,0.972653] precision 0.9627716849458845 [0.939487,0.972087] precision 0.963899140276837 [0.944272,0.971751] precision 0.9526082402977064 [0.911647,0.96898] precision 0.9622751015670342 [0.933943,0.973599] precision 0.9686240831291205 [0.946939,0.977291] precision 0.9671210711228145 [0.947585,0.974929] precision 0.9638722946235425 [0.954545,0.9676] predictive_accuracy 0.9631563678561068 predictive_accuracy 0.9651871192341166 predictive_accuracy 0.9576443284015086 predictive_accuracy 0.962866260516391 predictive_accuracy 0.9640266898752539 predictive_accuracy 0.9524085896691816 predictive_accuracy 0.9622751015670343 predictive_accuracy 0.9686593151479976 predictive_accuracy 0.9672083575159606 predictive_accuracy 0.9640162507254789 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 0.9631563678561068 [0.929878,0.976451] recall 0.9651871192341166 [0.938071,0.976036] recall 0.9576443284015086 [0.93198,0.967912] recall 0.962866260516391 [0.929949,0.976036] recall 0.9640266898752539 [0.928934,0.978067] recall 0.9524085896691816 [0.922764,0.964257] recall 0.9622751015670342 [0.933943,0.973599] recall 0.9686593151479976 [0.943089,0.978879] recall 0.9672083575159606 [0.936992,0.979285] recall 0.9640162507254788 [0.917683,0.982535] relative_absolute_error 0.09029795044310536 relative_absolute_error 0.0852948976574229 relative_absolute_error 0.10377545881653122 relative_absolute_error 0.09098122416791778 relative_absolute_error 0.08813806091267036 relative_absolute_error 0.1166289133936341 relative_absolute_error 0.09244974842178313 relative_absolute_error 0.07680440638117368 relative_absolute_error 0.08036016593585765 relative_absolute_error 0.08818283695616237 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 0.19194695137952372 root_mean_squared_error 0.186582101944113 root_mean_squared_error 0.20580493579720444 root_mean_squared_error 0.19270116627464645 root_mean_squared_error 0.18966631257222819 root_mean_squared_error 0.2181545560624814 root_mean_squared_error 0.19422898453363174 root_mean_squared_error 0.17703300497930413 root_mean_squared_error 0.18108462796173358 root_mean_squared_error 0.18969383035439288 root_relative_squared_error 0.42500370524664666 root_relative_squared_error 0.4129991043365965 root_relative_squared_error 0.45554880809390513 root_relative_squared_error 0.42654364082512475 root_relative_squared_error 0.4198259983083373 root_relative_squared_error 0.4829898219957595 root_relative_squared_error 0.43001908536555034 root_relative_squared_error 0.39194753071230415 root_relative_squared_error 0.4009177429251404 root_relative_squared_error 0.4199783447581135 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 126347.55861500162 usercpu_time_millis 139355.0672810088 usercpu_time_millis 125426.13620899647 usercpu_time_millis 131888.36454400007 usercpu_time_millis 124924.46198299876 usercpu_time_millis 123010.48163999803 usercpu_time_millis 122616.77500499354 usercpu_time_millis 122559.8283779982 usercpu_time_millis 126006.75022300129 usercpu_time_millis 125802.79713299387 usercpu_time_millis_testing 5419.5375600029365 usercpu_time_millis_testing 5302.264472004026 usercpu_time_millis_testing 5193.407913997362 usercpu_time_millis_testing 5297.785506001674 usercpu_time_millis_testing 5166.904340003384 usercpu_time_millis_testing 5107.689634998678 usercpu_time_millis_testing 4997.754983996856 usercpu_time_millis_testing 5151.619424999808 usercpu_time_millis_testing 4975.738089000515 usercpu_time_millis_testing 4999.912235994998 usercpu_time_millis_training 120928.02105499868 usercpu_time_millis_training 134052.8028090048 usercpu_time_millis_training 120232.7282949991 usercpu_time_millis_training 126590.5790379984 usercpu_time_millis_training 119757.55764299538 usercpu_time_millis_training 117902.79200499936 usercpu_time_millis_training 117619.02002099669 usercpu_time_millis_training 117408.2089529984 usercpu_time_millis_training 121031.01213400078 usercpu_time_millis_training 120802.88489699888 wall_clock_time_millis 126377.75754928589 wall_clock_time_millis 139371.13165855408 wall_clock_time_millis 125450.64353942871 wall_clock_time_millis 131910.9468460083 wall_clock_time_millis 124933.29095840454 wall_clock_time_millis 123019.7205543518 wall_clock_time_millis 122625.59008598328 wall_clock_time_millis 122623.20399284363 wall_clock_time_millis 126044.45028305054 wall_clock_time_millis 125822.87073135376 wall_clock_time_millis_testing 5426.148414611816 wall_clock_time_millis_testing 5302.987337112427 wall_clock_time_millis_testing 5194.531679153442 wall_clock_time_millis_testing 5298.025846481323 wall_clock_time_millis_testing 5167.11163520813 wall_clock_time_millis_testing 5107.874631881714 wall_clock_time_millis_testing 5001.184940338135 wall_clock_time_millis_testing 5151.975154876709 wall_clock_time_millis_testing 4977.376699447632 wall_clock_time_millis_testing 5000.976324081421 wall_clock_time_millis_training 120951.60913467407 wall_clock_time_millis_training 134068.14432144165 wall_clock_time_millis_training 120256.11186027527 wall_clock_time_millis_training 126612.92099952698 wall_clock_time_millis_training 119766.17932319641 wall_clock_time_millis_training 117911.8459224701 wall_clock_time_millis_training 117624.40514564514 wall_clock_time_millis_training 117471.22883796692 wall_clock_time_millis_training 121067.0735836029 wall_clock_time_millis_training 120821.89440727234