10372162 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8227505 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 0.17955924077736077 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9087481271015305 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.7901091993219369 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 3458 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. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21666029 description https://api.openml.org/data/download/21666029/description.xml -1 21666030 predictions https://api.openml.org/data/download/21666030/predictions.arff area_under_roc_curve 0.5061111111111111 [0.51,0.5075,0.505833,0.501389,0.501389,0.505,0.51,0.505,0.51,0.505] average_cost 0 f_measure 0.06497432746041511 [0.039216,0.029557,0.174226,0.134454,0.134454,0.019802,0.039216,0.019802,0.039216,0.019802] kappa 0.012222222222222218 kb_relative_information_score 0.07032159089156352 mean_absolute_error 0.17779999999999418 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7304297835645314 [1,1,0.101766,0.101266,0.101266,1,1,1,1,1] predictive_accuracy 0.111 prior_entropy 3.3219280948872383 recall 0.111 [0.02,0.015,0.605,0.2,0.2,0.01,0.02,0.01,0.02,0.01] relative_absolute_error 0.987777777777715 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4216633728461534 root_relative_squared_error 1.4055445761538232 total_cost 0 area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.525,0.5,0.525,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.505556,0.5,0.5,0.5,0.525,0.525,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5111111111111112 [0.525,0.5,0.5,0.5,0.511111,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.5,0.505556,0.5,0.525,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5027777777777778 [0.5,0.525,0.5,0.5,0.502778,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.5,0.525,0.525] area_under_roc_curve 0.5027777777777778 [0.5,0.5,0.502778,0.5,0.5,0.5,0.525,0.5,0.5,0.5] area_under_roc_curve 0.5083333333333333 [0.525,0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5083333333333333 [0.55,0.5,0.508333,0.5,0.5,0.5,0.525,0.5,0.5,0.5] 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 kappa 0.016666666666666666 kappa 0.011111111111111105 kappa 0 kappa 0.02222222222222221 kappa 0.011111111111111105 kappa 0.005555555555555545 kappa 0.016666666666666666 kappa 0.005555555555555545 kappa 0.016666666666666666 kappa 0.016666666666666666 kb_relative_information_score 0.07450462085380213 kb_relative_information_score 0.06927583340099862 kb_relative_information_score 0.05881825849539184 kb_relative_information_score 0.0797334083066058 kb_relative_information_score 0.06927583340099881 kb_relative_information_score 0.06404704594819566 kb_relative_information_score 0.07450462085380206 kb_relative_information_score 0.06404704594819523 kb_relative_information_score 0.0745046208538022 kb_relative_information_score 0.07450462085380212 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17699999999999982 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] predictive_accuracy 0.115 predictive_accuracy 0.11 predictive_accuracy 0.1 predictive_accuracy 0.12 predictive_accuracy 0.11 predictive_accuracy 0.105 predictive_accuracy 0.115 predictive_accuracy 0.105 predictive_accuracy 0.115 predictive_accuracy 0.115 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 0.115 [0,0.05,1,0,0,0,0.05,0,0.05,0] recall 0.11 [0,0,1,0,0,0,0.05,0.05,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.12 [0.05,0,0,0,1,0.05,0,0.05,0,0.05] recall 0.11 [0,0,0,1,0,0.05,0,0,0.05,0] recall 0.105 [0,0.05,0,0,1,0,0,0,0,0] recall 0.115 [0,0.05,1,0,0,0,0,0,0.05,0.05] recall 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.115 [0.05,0,0.05,1,0,0,0,0,0.05,0] recall 0.115 [0.1,0,1,0,0,0,0.05,0,0,0] relative_absolute_error 0.9833333333333334 relative_absolute_error 0.988888888888889 relative_absolute_error 1.0000000000000002 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9833333333333334 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 0.42071367935925236 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.42071367935925236 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4023789311975088 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 1346.4215670028352 usercpu_time_millis 1345.5176559982647 usercpu_time_millis 1335.1976560006733 usercpu_time_millis 1336.4666530032991 usercpu_time_millis 1345.409057001234 usercpu_time_millis 1342.8441910000402 usercpu_time_millis 1341.3796839995484 usercpu_time_millis 1342.484084001626 usercpu_time_millis 1344.4747560024553 usercpu_time_millis 1342.3673980032618 usercpu_time_millis_testing 77.9838180023944 usercpu_time_millis_testing 77.76070299951243 usercpu_time_millis_testing 77.2359239999787 usercpu_time_millis_testing 77.91288700173027 usercpu_time_millis_testing 77.88825000170618 usercpu_time_millis_testing 77.90630800081999 usercpu_time_millis_testing 77.93067400052678 usercpu_time_millis_testing 77.70395500119776 usercpu_time_millis_testing 78.11803500226233 usercpu_time_millis_testing 77.86786400174606 usercpu_time_millis_training 1268.4377490004408 usercpu_time_millis_training 1267.7569529987522 usercpu_time_millis_training 1257.9617320006946 usercpu_time_millis_training 1258.5537660015689 usercpu_time_millis_training 1267.5208069995278 usercpu_time_millis_training 1264.9378829992202 usercpu_time_millis_training 1263.4490099990217 usercpu_time_millis_training 1264.7801290004281 usercpu_time_millis_training 1266.356721000193 usercpu_time_millis_training 1264.4995340015157 wall_clock_time_millis 1353.7425994873047 wall_clock_time_millis 1354.4998168945312 wall_clock_time_millis 1342.592716217041 wall_clock_time_millis 1345.757246017456 wall_clock_time_millis 1353.9049625396729 wall_clock_time_millis 1351.351261138916 wall_clock_time_millis 1349.7061729431152 wall_clock_time_millis 1349.4915962219238 wall_clock_time_millis 1351.947546005249 wall_clock_time_millis 1348.7462997436523 wall_clock_time_millis_testing 79.07986640930176 wall_clock_time_millis_testing 78.45211029052734 wall_clock_time_millis_testing 77.24332809448242 wall_clock_time_millis_testing 77.92210578918457 wall_clock_time_millis_testing 78.98831367492676 wall_clock_time_millis_testing 78.03010940551758 wall_clock_time_millis_testing 77.9409408569336 wall_clock_time_millis_testing 78.24444770812988 wall_clock_time_millis_testing 79.21028137207031 wall_clock_time_millis_testing 77.98099517822266 wall_clock_time_millis_training 1274.662733078003 wall_clock_time_millis_training 1276.047706604004 wall_clock_time_millis_training 1265.3493881225586 wall_clock_time_millis_training 1267.8351402282715 wall_clock_time_millis_training 1274.916648864746 wall_clock_time_millis_training 1273.3211517333984 wall_clock_time_millis_training 1271.7652320861816 wall_clock_time_millis_training 1271.247148513794 wall_clock_time_millis_training 1272.7372646331787 wall_clock_time_millis_training 1270.7653045654297