10330652 8323 Heinrich Peters 125922 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186220 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 0.07077231909653779 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9005967890758899 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 2.867595836610148 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 49555 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. 40499 texture https://www.openml.org/data/download/4535764/phpBDgUyY -1 21583003 description https://api.openml.org/data/download/21583003/description.xml -1 21583004 predictions https://api.openml.org/data/download/21583004/predictions.arff area_under_roc_curve 0.9925000000000002 [0.9897,0.9999,0.9967,0.9935,0.9853,0.9956,0.9958,0.9967,1,0.9827,0.9816] average_cost 0 f_measure 0.9863778162656864 [0.969458,0.999001,0.994,0.988989,0.97012,0.992,0.993988,0.994,1,0.970913,0.977688] kappa 0.985 kb_relative_information_score 0.9858216259243955 mean_absolute_error 0.002479338842975205 mean_prior_absolute_error 0.1652892561983287 number_of_instances 5500 [500,500,500,500,500,500,500,500,500,500,500] precision 0.9864718309499152 [0.95534,0.998004,0.994,0.98998,0.96627,0.992,0.995984,0.994,1,0.973843,0.99177] predictive_accuracy 0.9863636363636364 prior_entropy 3.4594316186375305 recall 0.9863636363636363 [0.984,1,0.994,0.988,0.974,0.992,0.992,0.994,1,0.968,0.964] relative_absolute_error 0.015000000000001661 root_mean_prior_squared_error 0.2874797872880185 root_mean_squared_error 0.0497929597731969 root_relative_squared_error 0.1732050807568973 total_cost 0 area_under_roc_curve 0.993 [0.999,1,0.99,1,0.968,1,0.998,1,1,0.988,0.98] area_under_roc_curve 0.9940000000000001 [0.988,1,0.999,0.99,1,0.998,1,0.989,1,0.98,0.99] area_under_roc_curve 0.993 [0.999,1,1,1,0.995,0.99,0.99,1,1,0.989,0.96] area_under_roc_curve 0.995 [0.988,0.999,1,0.989,0.989,0.99,1,1,1,0.99,1] area_under_roc_curve 0.987 [0.986,1,1,0.979,0.979,0.99,0.99,0.979,1,0.985,0.969] area_under_roc_curve 0.9919999999999999 [0.987,1,0.989,0.989,0.979,1,1,1,1,0.978,0.99] area_under_roc_curve 0.9940000000000001 [0.979,1,0.99,0.998,0.979,0.999,1,1,1,0.99,0.999] area_under_roc_curve 0.995 [0.997,1,1,1,1,1,0.99,1,1,0.969,0.989] area_under_roc_curve 0.99 [0.978,1,0.999,0.99,0.968,0.999,1,0.999,1,0.988,0.969] area_under_roc_curve 0.992 [0.996,1,1,1,0.996,0.99,0.99,1,1,0.97,0.97] 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 0.9872521793268488 [0.990099,1,0.989899,1,0.949495,1,0.980392,1,1,0.970297,0.979592] f_measure 0.9891070920908527 [0.970297,1,0.990099,0.989899,1,0.980392,1,0.98,1,0.979592,0.989899] f_measure 0.9873282977648413 [0.990099,1,1,1,0.952381,0.989899,0.989899,1,1,0.98,0.958333] f_measure 0.9909267290365398 [0.970297,0.990099,1,0.98,0.98,0.989899,1,1,1,0.989899,1] f_measure 0.9765305968495983 [0.951456,1,1,0.969697,0.969697,0.989899,0.989899,0.969697,1,0.942308,0.959184] f_measure 0.9854891157564954 [0.960784,1,0.98,0.98,0.969697,1,1,1,1,0.96,0.989899] f_measure 0.9890710996233313 [0.969697,1,0.989899,0.980392,0.969697,0.990099,1,1,1,0.989899,0.990099] f_measure 0.9909051317978315 [0.970874,1,1,1,1,1,0.989899,1,1,0.959184,0.98] f_measure 0.9817428792972062 [0.96,1,0.990099,0.989899,0.949495,0.990099,1,0.990099,1,0.970297,0.959184] f_measure 0.9855472029792555 [0.961538,1,1,1,0.961538,0.989899,0.989899,1,1,0.969072,0.969072] kappa 0.986 kappa 0.988 kappa 0.986 kappa 0.9900000000000001 kappa 0.974 kappa 0.984 kappa 0.988 kappa 0.9900000000000001 kappa 0.98 kappa 0.984 kb_relative_information_score 0.9867668508627706 kb_relative_information_score 0.9886573007395176 kb_relative_information_score 0.9867668508627706 kb_relative_information_score 0.9905477506162645 kb_relative_information_score 0.9754241516022881 kb_relative_information_score 0.9848764009860234 kb_relative_information_score 0.9886573007395176 kb_relative_information_score 0.9905477506162645 kb_relative_information_score 0.9810955012325293 kb_relative_information_score 0.9848764009860234 mean_absolute_error 0.00231404958677686 mean_absolute_error 0.0019834710743801658 mean_absolute_error 0.00231404958677686 mean_absolute_error 0.0016528925619834713 mean_absolute_error 0.004297520661157025 mean_absolute_error 0.0026446280991735543 mean_absolute_error 0.0019834710743801658 mean_absolute_error 0.0016528925619834713 mean_absolute_error 0.003305785123966943 mean_absolute_error 0.0026446280991735543 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] precision 0.9874453277814622 [0.980392,1,1,1,0.959184,1,0.961538,1,1,0.960784,1] precision 0.9893377211024269 [0.960784,1,0.980392,1,1,0.961538,1,0.98,1,1,1] precision 0.988134824177605 [0.980392,1,1,1,0.909091,1,1,1,1,0.98,1] precision 0.9910160427807486 [0.960784,0.980392,1,0.98,0.98,1,1,1,1,1,1] precision 0.9772616260149952 [0.924528,1,1,0.979592,0.979592,1,1,0.979592,1,0.907407,0.979167] precision 0.9856272299129443 [0.942308,1,0.98,0.98,0.979592,1,1,1,1,0.96,1] precision 0.9892278589757582 [0.979592,1,1,0.961538,0.979592,0.980392,1,1,1,1,0.980392] precision 0.991142081189251 [0.943396,1,1,1,1,1,1,1,1,0.979167,0.98] precision 0.9818464658590709 [0.96,1,0.980392,1,0.959184,0.980392,1,0.980392,1,0.960784,0.979167] precision 0.9865319865319866 [0.925926,1,1,1,0.925926,1,1,1,1,1,1] predictive_accuracy 0.9872727272727273 predictive_accuracy 0.989090909090909 predictive_accuracy 0.9872727272727273 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9763636363636364 predictive_accuracy 0.9854545454545455 predictive_accuracy 0.989090909090909 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9854545454545455 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 recall 0.9872727272727273 [1,1,0.98,1,0.94,1,1,1,1,0.98,0.96] recall 0.9890909090909091 [0.98,1,1,0.98,1,1,1,0.98,1,0.96,0.98] recall 0.9872727272727273 [1,1,1,1,1,0.98,0.98,1,1,0.98,0.92] recall 0.990909090909091 [0.98,1,1,0.98,0.98,0.98,1,1,1,0.98,1] recall 0.9763636363636363 [0.98,1,1,0.96,0.96,0.98,0.98,0.96,1,0.98,0.94] recall 0.9854545454545455 [0.98,1,0.98,0.98,0.96,1,1,1,1,0.96,0.98] recall 0.9890909090909091 [0.96,1,0.98,1,0.96,1,1,1,1,0.98,1] recall 0.990909090909091 [1,1,1,1,1,1,0.98,1,1,0.94,0.98] recall 0.9818181818181818 [0.96,1,1,0.98,0.94,1,1,1,1,0.98,0.94] recall 0.9854545454545455 [1,1,1,1,1,0.98,0.98,1,1,0.94,0.94] relative_absolute_error 0.013999999999999903 relative_absolute_error 0.01199999999999992 relative_absolute_error 0.013999999999999903 relative_absolute_error 0.009999999999999929 relative_absolute_error 0.02599999999999982 relative_absolute_error 0.01599999999999989 relative_absolute_error 0.01199999999999992 relative_absolute_error 0.009999999999999929 relative_absolute_error 0.01999999999999986 relative_absolute_error 0.01599999999999989 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_squared_error 0.04810456929208347 root_mean_squared_error 0.04453617714151233 root_mean_squared_error 0.04810456929208347 root_mean_squared_error 0.040655781409087086 root_mean_squared_error 0.0655554777357089 root_mean_squared_error 0.05142594772265801 root_mean_squared_error 0.04453617714151233 root_mean_squared_error 0.040655781409087086 root_mean_squared_error 0.057495957457606904 root_mean_squared_error 0.05142594772265801 root_relative_squared_error 0.1673320053068145 root_relative_squared_error 0.15491933384829615 root_relative_squared_error 0.1673320053068145 root_relative_squared_error 0.14142135623730898 root_relative_squared_error 0.22803508501982678 root_relative_squared_error 0.17888543819998254 root_relative_squared_error 0.15491933384829615 root_relative_squared_error 0.14142135623730898 root_relative_squared_error 0.19999999999999932 root_relative_squared_error 0.17888543819998254 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 265.0233600000007 usercpu_time_millis 256.9903150000101 usercpu_time_millis 272.3161579999953 usercpu_time_millis 271.34456900000714 usercpu_time_millis 256.4623589999826 usercpu_time_millis 263.30723300000614 usercpu_time_millis 259.0252269999809 usercpu_time_millis 267.67913300000146 usercpu_time_millis 264.6843460000099 usercpu_time_millis 272.57142900000986 usercpu_time_millis_testing 23.61229699999967 usercpu_time_millis_testing 23.925206000001253 usercpu_time_millis_testing 24.174396999995906 usercpu_time_millis_testing 25.833654999999567 usercpu_time_millis_testing 22.33007999998904 usercpu_time_millis_testing 23.93829700000083 usercpu_time_millis_testing 23.85477899998989 usercpu_time_millis_testing 24.369446000008566 usercpu_time_millis_testing 25.033774000007725 usercpu_time_millis_testing 26.686068000003615 usercpu_time_millis_training 241.41106300000104 usercpu_time_millis_training 233.06510900000887 usercpu_time_millis_training 248.1417609999994 usercpu_time_millis_training 245.51091400000757 usercpu_time_millis_training 234.13227899999356 usercpu_time_millis_training 239.3689360000053 usercpu_time_millis_training 235.17044799999098 usercpu_time_millis_training 243.3096869999929 usercpu_time_millis_training 239.65057200000217 usercpu_time_millis_training 245.88536100000624 wall_clock_time_millis 265.20514488220215 wall_clock_time_millis 257.16447830200195 wall_clock_time_millis 272.4010944366455 wall_clock_time_millis 271.3782787322998 wall_clock_time_millis 256.6032409667969 wall_clock_time_millis 263.53001594543457 wall_clock_time_millis 259.07111167907715 wall_clock_time_millis 267.71092414855957 wall_clock_time_millis 282.08208084106445 wall_clock_time_millis 272.60327339172363 wall_clock_time_millis_testing 23.622512817382812 wall_clock_time_millis_testing 23.99158477783203 wall_clock_time_millis_testing 24.18661117553711 wall_clock_time_millis_testing 25.844812393188477 wall_clock_time_millis_testing 22.396087646484375 wall_clock_time_millis_testing 23.95009994506836 wall_clock_time_millis_testing 23.865461349487305 wall_clock_time_millis_testing 24.379730224609375 wall_clock_time_millis_testing 38.500308990478516 wall_clock_time_millis_testing 26.69668197631836 wall_clock_time_millis_training 241.58263206481934 wall_clock_time_millis_training 233.17289352416992 wall_clock_time_millis_training 248.2144832611084 wall_clock_time_millis_training 245.53346633911133 wall_clock_time_millis_training 234.2071533203125 wall_clock_time_millis_training 239.5799160003662 wall_clock_time_millis_training 235.20565032958984 wall_clock_time_millis_training 243.3311939239502 wall_clock_time_millis_training 243.58177185058594 wall_clock_time_millis_training 245.90659141540527