10327039 8323 Heinrich Peters 16 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182707 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 0.6157059094805306 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.704295099468238 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.010149764127328098 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 25687 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. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 21575764 description https://api.openml.org/data/download/21575764/description.xml -1 21575765 predictions https://api.openml.org/data/download/21575765/predictions.arff area_under_roc_curve 0.9841666666666667 [0.9875,0.989167,0.994444,0.978333,0.988889,0.968333,0.988889,0.986667,0.983611,0.975833] average_cost 0 f_measure 0.9716135212001926 [0.987342,0.945107,0.99,0.964824,0.98,0.954315,0.98,0.979899,0.972431,0.962217] kappa 0.9683333333333334 kb_relative_information_score 0.9701959115190215 mean_absolute_error 0.005699999999999996 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9722144727602422 [1,0.90411,0.99,0.969697,0.98,0.969072,0.98,0.984848,0.974874,0.969543] predictive_accuracy 0.9715 prior_entropy 3.3219280948872383 recall 0.9715 [0.975,0.99,0.99,0.96,0.98,0.94,0.98,0.975,0.97,0.955] relative_absolute_error 0.03166666666666567 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.07549834435270747 root_relative_squared_error 0.2516611478423544 total_cost 0 area_under_roc_curve 0.9888888888888888 [0.975,0.991667,1,1,1,0.975,0.997222,1,0.95,1] area_under_roc_curve 0.9805555555555554 [1,0.969444,1,0.975,0.975,0.969444,0.969444,0.975,1,0.972222] area_under_roc_curve 0.9916666666666666 [1,0.997222,0.997222,0.975,1,0.997222,1,0.975,1,0.975] area_under_roc_curve 0.9861111111111112 [0.975,0.991667,0.997222,0.975,0.975,0.975,1,1,1,0.972222] area_under_roc_curve 0.977777777777778 [1,0.994444,0.95,0.944444,0.997222,0.975,1,0.947222,0.997222,0.972222] area_under_roc_curve 0.9833333333333332 [1,0.969444,1,0.975,0.975,0.95,1,0.997222,0.994444,0.972222] area_under_roc_curve 0.9888888888888888 [0.975,0.994444,1,0.997222,1,0.947222,1,1,0.975,1] area_under_roc_curve 0.9861111111111112 [0.975,0.997222,1,1,0.994444,0.975,0.975,1,0.947222,0.997222] area_under_roc_curve 0.9805555555555554 [0.975,0.994444,1,0.969444,0.997222,0.947222,1,0.997222,1,0.925] area_under_roc_curve 0.9777777777777777 [1,0.991667,1,0.972222,0.975,0.972222,0.947222,0.975,0.972222,0.972222] 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 0.9801928684007676 [0.974359,0.930233,1,1,1,0.974359,0.97561,1,0.947368,1] f_measure 0.9653564727954971 [1,0.926829,1,0.974359,0.974359,0.926829,0.926829,0.974359,1,0.95] f_measure 0.9849906191369605 [1,0.97561,0.97561,0.974359,1,0.97561,1,0.974359,1,0.974359] f_measure 0.9753278211672993 [0.974359,0.930233,0.97561,0.974359,0.974359,0.974359,1,1,1,0.95] f_measure 0.9598404783064604 [1,0.952381,0.947368,0.9,0.97561,0.974359,1,0.923077,0.97561,0.95] f_measure 0.9700906346541776 [1,0.926829,1,0.974359,0.974359,0.947368,1,0.97561,0.952381,0.95] f_measure 0.9799785580273384 [0.974359,0.952381,1,0.97561,1,0.923077,1,1,0.974359,1] f_measure 0.9749754310729919 [0.974359,0.97561,1,1,0.952381,0.974359,0.974359,1,0.923077,0.97561] f_measure 0.9646784549223574 [0.974359,0.952381,1,0.926829,0.97561,0.923077,1,0.97561,1,0.918919] f_measure 0.9602027429934407 [1,0.930233,1,0.95,0.974359,0.95,0.923077,0.974359,0.95,0.95] kappa 0.9777777777777777 kappa 0.961111111111111 kappa 0.9833333333333333 kappa 0.9722222222222222 kappa 0.9555555555555555 kappa 0.9666666666666667 kappa 0.9777777777777777 kappa 0.9722222222222222 kappa 0.961111111111111 kappa 0.9555555555555555 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9843136376415902 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9581697003775735 mean_absolute_error 0.004 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.0030000000000000005 mean_absolute_error 0.005 mean_absolute_error 0.008 mean_absolute_error 0.006 mean_absolute_error 0.004 mean_absolute_error 0.005 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.008 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.9821946169772257 [1,0.869565,1,1,1,1,0.952381,1,1,1] precision 0.9664285714285715 [1,0.904762,1,1,1,0.904762,0.904762,1,1,0.95] precision 0.9857142857142859 [1,0.952381,0.952381,1,1,0.952381,1,1,1,1] precision 0.9771946169772256 [1,0.869565,0.952381,1,1,1,1,1,1,0.95] precision 0.9611221234905445 [1,0.909091,1,0.9,0.952381,1,1,0.947368,0.952381,0.95] precision 0.9716233766233766 [1,0.904762,1,1,1,1,1,0.952381,0.909091,0.95] precision 0.9808840282524492 [1,0.909091,1,0.952381,1,0.947368,1,1,1,1] precision 0.9761221234905445 [1,0.952381,1,1,0.909091,1,1,1,0.947368,0.952381] precision 0.966598313966735 [1,0.909091,1,0.904762,0.952381,0.947368,1,0.952381,1,1] precision 0.9616933638443936 [1,0.869565,1,0.95,1,0.95,0.947368,1,0.95,0.95] predictive_accuracy 0.98 predictive_accuracy 0.965 predictive_accuracy 0.985 predictive_accuracy 0.975 predictive_accuracy 0.96 predictive_accuracy 0.97 predictive_accuracy 0.98 predictive_accuracy 0.975 predictive_accuracy 0.965 predictive_accuracy 0.96 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.98 [0.95,1,1,1,1,0.95,1,1,0.9,1] recall 0.965 [1,0.95,1,0.95,0.95,0.95,0.95,0.95,1,0.95] recall 0.985 [1,1,1,0.95,1,1,1,0.95,1,0.95] recall 0.975 [0.95,1,1,0.95,0.95,0.95,1,1,1,0.95] recall 0.96 [1,1,0.9,0.9,1,0.95,1,0.9,1,0.95] recall 0.97 [1,0.95,1,0.95,0.95,0.9,1,1,1,0.95] recall 0.98 [0.95,1,1,1,1,0.9,1,1,0.95,1] recall 0.975 [0.95,1,1,1,1,0.95,0.95,1,0.9,1] recall 0.965 [0.95,1,1,0.95,1,0.9,1,1,1,0.85] recall 0.96 [1,1,1,0.95,0.95,0.95,0.9,0.95,0.95,0.95] relative_absolute_error 0.02222222222222225 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.016666666666666687 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.0444444444444445 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.05477225575051661 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.08944271909999159 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.18257418583505547 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.29814239699997214 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 375.00117500894703 usercpu_time_millis 367.86700499942526 usercpu_time_millis 367.9872569991858 usercpu_time_millis 381.3419079888263 usercpu_time_millis 371.5679300003103 usercpu_time_millis 377.8957789982087 usercpu_time_millis 385.8024629953434 usercpu_time_millis 379.59030300407903 usercpu_time_millis 375.8096830060822 usercpu_time_millis 373.95117500273045 usercpu_time_millis_testing 35.41728300479008 usercpu_time_millis_testing 35.22033299668692 usercpu_time_millis_testing 34.591964998980984 usercpu_time_millis_testing 35.51790999335935 usercpu_time_millis_testing 35.10659000312444 usercpu_time_millis_testing 35.41152799880365 usercpu_time_millis_testing 36.01300199807156 usercpu_time_millis_testing 35.517898002581205 usercpu_time_millis_testing 35.82222200202523 usercpu_time_millis_testing 35.53864399873419 usercpu_time_millis_training 339.58389200415695 usercpu_time_millis_training 332.64667200273834 usercpu_time_millis_training 333.3952920002048 usercpu_time_millis_training 345.8239979954669 usercpu_time_millis_training 336.46133999718586 usercpu_time_millis_training 342.48425099940505 usercpu_time_millis_training 349.7894609972718 usercpu_time_millis_training 344.0724050014978 usercpu_time_millis_training 339.98746100405697 usercpu_time_millis_training 338.41253100399626 wall_clock_time_millis 660.9647274017334 wall_clock_time_millis 367.9389953613281 wall_clock_time_millis 396.0528373718262 wall_clock_time_millis 461.4412784576416 wall_clock_time_millis 419.62385177612305 wall_clock_time_millis 458.0094814300537 wall_clock_time_millis 513.8287544250488 wall_clock_time_millis 423.6299991607666 wall_clock_time_millis 383.85915756225586 wall_clock_time_millis 374.0561008453369 wall_clock_time_millis_testing 51.42927169799805 wall_clock_time_millis_testing 35.23588180541992 wall_clock_time_millis_testing 34.60550308227539 wall_clock_time_millis_testing 35.53175926208496 wall_clock_time_millis_testing 35.12144088745117 wall_clock_time_millis_testing 67.43431091308594 wall_clock_time_millis_testing 84.01966094970703 wall_clock_time_millis_testing 35.53295135498047 wall_clock_time_millis_testing 35.83693504333496 wall_clock_time_millis_testing 35.55440902709961 wall_clock_time_millis_training 609.5354557037354 wall_clock_time_millis_training 332.7031135559082 wall_clock_time_millis_training 361.4473342895508 wall_clock_time_millis_training 425.90951919555664 wall_clock_time_millis_training 384.5024108886719 wall_clock_time_millis_training 390.5751705169678 wall_clock_time_millis_training 429.8090934753418 wall_clock_time_millis_training 388.09704780578613 wall_clock_time_millis_training 348.0222225189209 wall_clock_time_millis_training 338.5016918182373