10372903 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) 8228246 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 12.383653966672204 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.7815414630792017 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 16551 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 21667511 description https://api.openml.org/data/download/21667511/description.xml -1 21667512 predictions https://api.openml.org/data/download/21667512/predictions.arff area_under_roc_curve 0.5288888888888889 [0.6275,0.544444,0.529444,0.506389,0.508889,0.51,0.51,0.5125,0.5325,0.507222] average_cost 0 f_measure 0.13152288155029718 [0.406375,0.163636,0.186012,0.138648,0.141869,0.039216,0.039216,0.04878,0.122066,0.029412] kappa 0.05777777777777777 kb_relative_information_score 0.11319764800455212 mean_absolute_error 0.16959999999999464 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6973832138487311 [1,0.9,0.109266,0.106101,0.108466,1,1,1,1,0.75] predictive_accuracy 0.152 prior_entropy 3.3219280948872383 recall 0.152 [0.255,0.09,0.625,0.2,0.205,0.02,0.02,0.025,0.065,0.015] relative_absolute_error 0.9422222222221635 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4118252056394735 root_relative_squared_error 1.3727506854648905 total_cost 0 area_under_roc_curve 0.5277777777777778 [0.6,0.547222,0.530556,0.5,0.5,0.525,0.525,0.5,0.55,0.5] area_under_roc_curve 0.525 [0.6,0.525,0.525,0.5,0.5,0.5,0.525,0.55,0.525,0.5] area_under_roc_curve 0.5222222222222223 [0.575,0.597222,0.525,0.5,0.5,0.525,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5305555555555554 [0.65,0.525,0.525,0.5,0.533333,0.525,0.5,0.525,0.5,0.522222] area_under_roc_curve 0.5277777777777778 [0.575,0.575,0.5,0.527778,0.5,0.525,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5305555555555556 [0.675,0.55,0.55,0.5,0.530556,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5305555555555556 [0.625,0.55,0.530556,0.5,0.5,0.5,0.5,0.525,0.525,0.55] area_under_roc_curve 0.5305555555555556 [0.65,0.525,0.530556,0.5,0.525,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5361111111111111 [0.65,0.55,0.55,0.536111,0.5,0.5,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5277777777777778 [0.675,0.5,0.527778,0.5,0.5,0.5,0.525,0.5,0.55,0.5] 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 0.05555555555555554 kappa 0.04999999999999998 kappa 0.04444444444444445 kappa 0.0611111111111111 kappa 0.05555555555555554 kappa 0.0611111111111111 kappa 0.0611111111111111 kappa 0.0611111111111111 kappa 0.07222222222222223 kappa 0.05555555555555554 kb_relative_information_score 0.1111061330234275 kb_relative_information_score 0.105877345570624 kb_relative_information_score 0.10064855811782072 kb_relative_information_score 0.11633492047623019 kb_relative_information_score 0.11110613302342703 kb_relative_information_score 0.11633492047623023 kb_relative_information_score 0.11633492047623076 kb_relative_information_score 0.11633492047623076 kb_relative_information_score 0.12679249538183723 kb_relative_information_score 0.11110613302342723 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.17099999999999974 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.16699999999999968 mean_absolute_error 0.1699999999999997 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 0.15 predictive_accuracy 0.145 predictive_accuracy 0.14 predictive_accuracy 0.155 predictive_accuracy 0.15 predictive_accuracy 0.155 predictive_accuracy 0.155 predictive_accuracy 0.155 predictive_accuracy 0.165 predictive_accuracy 0.15 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 0.15 [0.2,0.1,1,0,0,0.05,0.05,0,0.1,0] recall 0.145 [0.2,0.05,1,0,0,0,0.05,0.1,0.05,0] recall 0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0] recall 0.155 [0.3,0.05,0.05,0,1,0.05,0,0.05,0,0.05] recall 0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0] recall 0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0] recall 0.155 [0.25,0.1,1,0,0,0,0,0.05,0.05,0.1] recall 0.155 [0.3,0.05,1,0,0.05,0,0.05,0.05,0.05,0] recall 0.165 [0.3,0.1,0.1,1,0,0,0,0,0.15,0] recall 0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0] relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9499999999999996 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.927777777777777 relative_absolute_error 0.9444444444444439 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 0.4123105625617657 root_mean_squared_error 0.41352146256270633 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.4086563348340506 root_mean_squared_error 0.4123105625617657 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.378404875209022 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3621877827801696 root_relative_squared_error 1.374368541872553 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 1293.530909002584 usercpu_time_millis 1138.945884998975 usercpu_time_millis 1150.7375209985184 usercpu_time_millis 1079.6960219995526 usercpu_time_millis 1113.295121002011 usercpu_time_millis 1145.0864760008699 usercpu_time_millis 1135.8050880007795 usercpu_time_millis 1156.3495760019578 usercpu_time_millis 1133.7091499990493 usercpu_time_millis 1110.158979001426 usercpu_time_millis_testing 50.35249700085842 usercpu_time_millis_testing 50.196725998830516 usercpu_time_millis_testing 50.269620998733444 usercpu_time_millis_testing 50.522882000223035 usercpu_time_millis_testing 50.28424299962353 usercpu_time_millis_testing 52.03547899873229 usercpu_time_millis_testing 50.315701999352314 usercpu_time_millis_testing 50.44332800025586 usercpu_time_millis_testing 50.260256000910886 usercpu_time_millis_testing 50.37628100035363 usercpu_time_millis_training 1243.1784120017255 usercpu_time_millis_training 1088.7491590001446 usercpu_time_millis_training 1100.467899999785 usercpu_time_millis_training 1029.1731399993296 usercpu_time_millis_training 1063.0108780023875 usercpu_time_millis_training 1093.0509970021376 usercpu_time_millis_training 1085.4893860014272 usercpu_time_millis_training 1105.906248001702 usercpu_time_millis_training 1083.4488939981384 usercpu_time_millis_training 1059.7826980010723 wall_clock_time_millis 1293.9467430114746 wall_clock_time_millis 1139.6713256835938 wall_clock_time_millis 1151.2227058410645 wall_clock_time_millis 1079.99849319458 wall_clock_time_millis 1113.633632659912 wall_clock_time_millis 1145.4625129699707 wall_clock_time_millis 1136.2345218658447 wall_clock_time_millis 1156.7695140838623 wall_clock_time_millis 1134.1640949249268 wall_clock_time_millis 1110.283613204956 wall_clock_time_millis_testing 50.36139488220215 wall_clock_time_millis_testing 50.223588943481445 wall_clock_time_millis_testing 50.27914047241211 wall_clock_time_millis_testing 50.530433654785156 wall_clock_time_millis_testing 50.292253494262695 wall_clock_time_millis_testing 52.09636688232422 wall_clock_time_millis_testing 50.3232479095459 wall_clock_time_millis_testing 50.542593002319336 wall_clock_time_millis_testing 50.267934799194336 wall_clock_time_millis_testing 50.38571357727051 wall_clock_time_millis_training 1243.5853481292725 wall_clock_time_millis_training 1089.4477367401123 wall_clock_time_millis_training 1100.9435653686523 wall_clock_time_millis_training 1029.468059539795 wall_clock_time_millis_training 1063.3413791656494 wall_clock_time_millis_training 1093.3661460876465 wall_clock_time_millis_training 1085.9112739562988 wall_clock_time_millis_training 1106.226921081543 wall_clock_time_millis_training 1083.8961601257324 wall_clock_time_millis_training 1059.8978996276855