10229074 8323 Heinrich Peters 3902 Supervised Classification 13293 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklearn_extra.fast_kernel.FKC_EigenPro)(1) 8154173 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 bandwidth 6 13292 batch_size "auto" 13292 coef0 0.001 13292 degree 3 13292 gamma null 13292 kernel "rbf" 13292 kernel_params null 13292 n_components 500 13292 n_epoch 1 13292 random_state 47713 13292 subsample_size "auto" 13292 memory null 13293 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": "fkc_eigenpro", "step_name": "fkc_eigenpro"}}] 13293 verbose false 13293 copy true 13294 with_mean true 13294 with_std true 13294 openml-python Sklearn_0.21.2. 1049 pc4 https://www.openml.org/data/download/53932/pc4.arff -1 21379577 description https://api.openml.org/data/download/21379577/description.xml -1 21379578 predictions https://api.openml.org/data/download/21379578/predictions.arff area_under_roc_curve 0.6763342696629213 [0.676334,0.676334] average_cost 0 f_measure 0.8965695148942755 [0.951449,0.501931] kappa 0.46075243845796565 kb_relative_information_score 0.4683630242678176 mean_absolute_error 0.08847736625514403 mean_prior_absolute_error 0.21475186500554347 number_of_instances 1458 [1280,178] precision 0.9038405790604613 [0.917938,0.802469] predictive_accuracy 0.911522633744856 prior_entropy 0.5353265209893541 recall 0.911522633744856 [0.9875,0.365169] relative_absolute_error 0.4119981274801043 root_mean_prior_squared_error 0.3273844178757506 root_mean_squared_error 0.2974514519297965 root_relative_squared_error 0.9085693627687732 total_cost 0 area_under_roc_curve 0.7144097222222222 [0.71441,0.71441] area_under_roc_curve 0.6271701388888888 [0.62717,0.62717] area_under_roc_curve 0.6588541666666666 [0.658854,0.658854] area_under_roc_curve 0.6549479166666666 [0.654948,0.654948] area_under_roc_curve 0.74609375 [0.746094,0.746094] area_under_roc_curve 0.6388888888888888 [0.638889,0.638889] area_under_roc_curve 0.6588541666666666 [0.658854,0.658854] area_under_roc_curve 0.6944444444444444 [0.694444,0.694444] area_under_roc_curve 0.6392463235294118 [0.639246,0.639246] area_under_roc_curve 0.7313878676470589 [0.731388,0.731388] 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 0.9073118662159758 [0.954545,0.571429] f_measure 0.8713960876902477 [0.93985,0.384615] f_measure 0.8874715767289667 [0.947368,0.461538] f_measure 0.8818816231584389 [0.943396,0.444444] f_measure 0.9227598885133133 [0.962121,0.642857] f_measure 0.887946666784752 [0.951673,0.434783] f_measure 0.8874715767289667 [0.947368,0.461538] f_measure 0.9096341901390386 [0.958801,0.56] f_measure 0.8851482153660011 [0.947368,0.416667] f_measure 0.9214693352624387 [0.962121,0.615385] kappa 0.5300429184549356 kappa 0.33409350057012555 kappa 0.4173318129988595 kappa 0.3946932006633503 kappa 0.608369098712446 kappa 0.4027690371302705 kappa 0.4173318129988595 kappa 0.5273690406121249 kappa 0.37384330660086407 kappa 0.581408775981524 kb_relative_information_score 0.5092615697547397 kb_relative_information_score 0.3456820930063194 kb_relative_information_score 0.4274718313805295 kb_relative_information_score 0.3865769621934244 kb_relative_information_score 0.5910513081289498 kb_relative_information_score 0.4683667005676346 kb_relative_information_score 0.4274718313805295 kb_relative_information_score 0.5501564389418447 kb_relative_information_score 0.40454945795254316 kb_relative_information_score 0.5746781842518167 mean_absolute_error 0.0821917808219178 mean_absolute_error 0.1095890410958904 mean_absolute_error 0.0958904109589041 mean_absolute_error 0.10273972602739725 mean_absolute_error 0.0684931506849315 mean_absolute_error 0.08904109589041095 mean_absolute_error 0.0958904109589041 mean_absolute_error 0.07534246575342465 mean_absolute_error 0.09655172413793103 mean_absolute_error 0.06896551724137931 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.21109589041095872 mean_prior_absolute_error 0.21109589041095872 number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 145 [128,17] number_of_instances 145 [128,17] precision 0.9108783239323127 [0.926471,0.8] precision 0.8711782807226524 [0.905797,0.625] precision 0.8929422275163789 [0.913043,0.75] precision 0.882111788821118 [0.912409,0.666667] precision 0.9296535052377115 [0.933824,0.9] precision 0.9191683668512581 [0.907801,1] precision 0.8929422275163789 [0.913043,0.75] precision 0.9306198876515227 [0.920863,1] precision 0.8897408438637824 [0.913043,0.714286] precision 0.9285553301780483 [0.933824,0.888889] predictive_accuracy 0.9178082191780823 predictive_accuracy 0.8904109589041096 predictive_accuracy 0.904109589041096 predictive_accuracy 0.8972602739726027 predictive_accuracy 0.9315068493150684 predictive_accuracy 0.910958904109589 predictive_accuracy 0.904109589041096 predictive_accuracy 0.9246575342465754 predictive_accuracy 0.9034482758620689 predictive_accuracy 0.9310344827586207 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.521574187993427 prior_entropy 0.521574187993427 recall 0.9178082191780822 [0.984375,0.444444] recall 0.8904109589041096 [0.976562,0.277778] recall 0.9041095890410958 [0.984375,0.333333] recall 0.8972602739726028 [0.976562,0.333333] recall 0.9315068493150684 [0.992188,0.5] recall 0.910958904109589 [1,0.277778] recall 0.9041095890410958 [0.984375,0.333333] recall 0.9246575342465754 [1,0.388889] recall 0.903448275862069 [0.984375,0.294118] recall 0.9310344827586207 [0.992188,0.470588] relative_absolute_error 0.38111812051337857 relative_absolute_error 0.5081574940178382 relative_absolute_error 0.44463780726560836 relative_absolute_error 0.47639765064172324 relative_absolute_error 0.3175984337611488 relative_absolute_error 0.41287796388949344 relative_absolute_error 0.44463780726560836 relative_absolute_error 0.3493582771372637 relative_absolute_error 0.4573832486741708 relative_absolute_error 0.3267023204815505 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.3217523620321372 root_mean_prior_squared_error 0.3217523620321372 root_mean_squared_error 0.28669108954049793 root_mean_squared_error 0.3310423554409472 root_mean_squared_error 0.30966176864266615 root_mean_squared_error 0.3205303823780162 root_mean_squared_error 0.2617119612951068 root_mean_squared_error 0.2983975467231776 root_mean_squared_error 0.30966176864266615 root_mean_squared_error 0.2744858206782723 root_mean_squared_error 0.31072773313293267 root_mean_squared_error 0.2626128657194451 root_relative_squared_error 0.8720168382900821 root_relative_squared_error 1.0069183126493306 root_relative_squared_error 0.9418858356005803 root_relative_squared_error 0.9749444639705325 root_relative_squared_error 0.7960388214263544 root_relative_squared_error 0.9076239016152106 root_relative_squared_error 0.9418858356005803 root_relative_squared_error 0.8348925593988998 root_relative_squared_error 0.9657356706580965 root_relative_squared_error 0.8161956109997877 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 321.78243899397785 usercpu_time_millis 389.77589199566864 usercpu_time_millis 368.93383899951004 usercpu_time_millis 355.09946399906767 usercpu_time_millis 328.0215139966458 usercpu_time_millis 323.1837710009131 usercpu_time_millis 358.0887329990219 usercpu_time_millis 356.8835179976304 usercpu_time_millis 390.6841690004512 usercpu_time_millis 399.94732099512476 usercpu_time_millis_testing 2.705617996980436 usercpu_time_millis_testing 2.942408998933388 usercpu_time_millis_testing 2.6678969989006873 usercpu_time_millis_testing 2.6858079982048366 usercpu_time_millis_testing 2.763687996775843 usercpu_time_millis_testing 2.65268800285412 usercpu_time_millis_testing 2.6782729983096942 usercpu_time_millis_testing 2.6581620004435536 usercpu_time_millis_testing 2.7346130009391345 usercpu_time_millis_testing 2.730289997998625 usercpu_time_millis_training 319.0768209969974 usercpu_time_millis_training 386.83348299673526 usercpu_time_millis_training 366.26594200060936 usercpu_time_millis_training 352.41365600086283 usercpu_time_millis_training 325.25782599986997 usercpu_time_millis_training 320.531082998059 usercpu_time_millis_training 355.4104600007122 usercpu_time_millis_training 354.22535599718685 usercpu_time_millis_training 387.9495559995121 usercpu_time_millis_training 397.21703099712613 wall_clock_time_millis 321.78807258605957 wall_clock_time_millis 389.8031711578369 wall_clock_time_millis 368.9401149749756 wall_clock_time_millis 355.1056385040283 wall_clock_time_millis 328.02867889404297 wall_clock_time_millis 324.8472213745117 wall_clock_time_millis 358.0944538116455 wall_clock_time_millis 356.8899631500244 wall_clock_time_millis 390.6898498535156 wall_clock_time_millis 399.95360374450684 wall_clock_time_millis_testing 2.707958221435547 wall_clock_time_millis_testing 2.9449462890625 wall_clock_time_millis_testing 2.6702880859375 wall_clock_time_millis_testing 2.688169479370117 wall_clock_time_millis_testing 2.7658939361572266 wall_clock_time_millis_testing 2.6552677154541016 wall_clock_time_millis_testing 2.6807785034179688 wall_clock_time_millis_testing 2.6607513427734375 wall_clock_time_millis_testing 2.7375221252441406 wall_clock_time_millis_testing 2.7332305908203125 wall_clock_time_millis_training 319.080114364624 wall_clock_time_millis_training 386.8582248687744 wall_clock_time_millis_training 366.2698268890381 wall_clock_time_millis_training 352.4174690246582 wall_clock_time_millis_training 325.26278495788574 wall_clock_time_millis_training 322.1919536590576 wall_clock_time_millis_training 355.41367530822754 wall_clock_time_millis_training 354.229211807251 wall_clock_time_millis_training 387.9523277282715 wall_clock_time_millis_training 397.2203731536865