10372889 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) 8228232 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 100.71486959612244 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8143202599488542 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.7425096551560258 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 2407 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 21667483 description https://api.openml.org/data/download/21667483/description.xml -1 21667484 predictions https://api.openml.org/data/download/21667484/predictions.arff area_under_roc_curve 0.5302777777777778 [0.635,0.544444,0.53,0.506944,0.511667,0.51,0.51,0.5125,0.535,0.507222] average_cost 0 f_measure 0.1347046235806314 [0.425197,0.163636,0.186289,0.13913,0.145329,0.039216,0.039216,0.04878,0.130841,0.029412] kappa 0.06055555555555554 kb_relative_information_score 0.11581204173095387 mean_absolute_error 0.16909999999999467 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6977234870597392 [1,0.9,0.109457,0.106667,0.111111,1,1,1,1,0.75] predictive_accuracy 0.1545 prior_entropy 3.3219280948872383 recall 0.1545 [0.27,0.09,0.625,0.2,0.21,0.02,0.02,0.025,0.07,0.015] relative_absolute_error 0.9394444444443859 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4112177038990353 root_relative_squared_error 1.37072567966343 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 0.5277777777777778 [0.625,0.525,0.527778,0.5,0.5,0.5,0.525,0.55,0.525,0.5] 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 0.5333333333333333 [0.65,0.525,0.525,0.5,0.536111,0.525,0.5,0.525,0.525,0.522222] area_under_roc_curve 0.5305555555555556 [0.6,0.575,0.5,0.530556,0.5,0.525,0.5,0.5,0.575,0.5] 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 0.5333333333333333 [0.65,0.55,0.533333,0.5,0.5,0.5,0.5,0.525,0.525,0.55] 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 0.5388888888888889 [0.65,0.55,0.55,0.538889,0.525,0.5,0.5,0.5,0.575,0.5] 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 0.05555555555555554 kappa 0.04444444444444445 kappa 0.06666666666666667 kappa 0.0611111111111111 kappa 0.0611111111111111 kappa 0.06666666666666667 kappa 0.0611111111111111 kappa 0.07777777777777778 kappa 0.05555555555555554 kb_relative_information_score 0.1111061330234275 kb_relative_information_score 0.1111061330234274 kb_relative_information_score 0.10064855811782072 kb_relative_information_score 0.1215637079290336 kb_relative_information_score 0.11633492047623044 kb_relative_information_score 0.11633492047623023 kb_relative_information_score 0.12156370792903415 kb_relative_information_score 0.11633492047623076 kb_relative_information_score 0.13202128283464062 kb_relative_information_score 0.11110613302342723 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.16799999999999968 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.16799999999999968 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.16599999999999965 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 0.15 predictive_accuracy 0.14 predictive_accuracy 0.16 predictive_accuracy 0.155 predictive_accuracy 0.155 predictive_accuracy 0.16 predictive_accuracy 0.155 predictive_accuracy 0.17 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 0.15 [0.25,0.05,1,0,0,0,0.05,0.1,0.05,0] recall 0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0] recall 0.16 [0.3,0.05,0.05,0,1,0.05,0,0.05,0.05,0.05] recall 0.155 [0.2,0.15,0,1,0,0.05,0,0,0.15,0] recall 0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0] recall 0.16 [0.3,0.1,1,0,0,0,0,0.05,0.05,0.1] recall 0.155 [0.3,0.05,1,0,0.05,0,0.05,0.05,0.05,0] recall 0.17 [0.3,0.1,0.1,1,0.05,0,0,0,0.15,0] recall 0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0] relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9333333333333326 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9333333333333326 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9222222222222213 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 0.4123105625617657 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.4098780306383835 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.4098780306383835 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.40743097574926684 root_mean_squared_error 0.4123105625617657 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.3662601021279457 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3662601021279457 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.358103252497557 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 1526.3669449996087 usercpu_time_millis 1536.2989559980633 usercpu_time_millis 1570.6744539966166 usercpu_time_millis 1473.3860789965547 usercpu_time_millis 1538.3764859980147 usercpu_time_millis 1579.4846859971585 usercpu_time_millis 1548.2553919973725 usercpu_time_millis 1508.491372998833 usercpu_time_millis 1562.5332550007442 usercpu_time_millis 1521.1411979980767 usercpu_time_millis_testing 76.59769399833749 usercpu_time_millis_testing 77.42515700010699 usercpu_time_millis_testing 77.32601199677447 usercpu_time_millis_testing 77.04378799826372 usercpu_time_millis_testing 76.99431799846934 usercpu_time_millis_testing 79.03758199972799 usercpu_time_millis_testing 76.47926699792151 usercpu_time_millis_testing 76.5640550016542 usercpu_time_millis_testing 77.31337999939569 usercpu_time_millis_testing 76.91729499856592 usercpu_time_millis_training 1449.7692510012712 usercpu_time_millis_training 1458.8737989979563 usercpu_time_millis_training 1493.3484419998422 usercpu_time_millis_training 1396.342290998291 usercpu_time_millis_training 1461.3821679995453 usercpu_time_millis_training 1500.4471039974305 usercpu_time_millis_training 1471.776124999451 usercpu_time_millis_training 1431.9273179971788 usercpu_time_millis_training 1485.2198750013486 usercpu_time_millis_training 1444.2239029995108 wall_clock_time_millis 1526.695728302002 wall_clock_time_millis 1536.797046661377 wall_clock_time_millis 1570.7707405090332 wall_clock_time_millis 1473.7615585327148 wall_clock_time_millis 1538.4082794189453 wall_clock_time_millis 1579.519271850586 wall_clock_time_millis 1548.663854598999 wall_clock_time_millis 1509.0956687927246 wall_clock_time_millis 1563.063383102417 wall_clock_time_millis 1521.4412212371826 wall_clock_time_millis_testing 76.60818099975586 wall_clock_time_millis_testing 77.43310928344727 wall_clock_time_millis_testing 77.33798027038574 wall_clock_time_millis_testing 77.1036148071289 wall_clock_time_millis_testing 77.00443267822266 wall_clock_time_millis_testing 79.04815673828125 wall_clock_time_millis_testing 76.4930248260498 wall_clock_time_millis_testing 76.57384872436523 wall_clock_time_millis_testing 77.32224464416504 wall_clock_time_millis_testing 76.92790031433105 wall_clock_time_millis_training 1450.087547302246 wall_clock_time_millis_training 1459.3639373779297 wall_clock_time_millis_training 1493.4327602386475 wall_clock_time_millis_training 1396.657943725586 wall_clock_time_millis_training 1461.4038467407227 wall_clock_time_millis_training 1500.4711151123047 wall_clock_time_millis_training 1472.1708297729492 wall_clock_time_millis_training 1432.5218200683594 wall_clock_time_millis_training 1485.741138458252 wall_clock_time_millis_training 1444.5133209228516