10326662 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) 8182333 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 117.86696136619535 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.4928250097564246 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.21199007562798622 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 54753 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 21575010 description https://api.openml.org/data/download/21575010/description.xml -1 21575011 predictions https://api.openml.org/data/download/21575011/predictions.arff area_under_roc_curve 0.6533333333333333 [0.8275,0.618333,0.7625,0.556389,0.654444,0.53,0.560278,0.719722,0.74,0.564167] average_cost 0 f_measure 0.410879943964157 [0.791541,0.377953,0.688525,0.201207,0.255023,0.113208,0.213439,0.595318,0.648649,0.223938] kappa 0.3066666666666667 kb_relative_information_score 0.34744732589014826 mean_absolute_error 0.12479999999999718 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7108011011326126 [1,0.888889,1,0.16835,0.150823,1,0.509434,0.89899,1,0.491525] predictive_accuracy 0.376 prior_entropy 3.3219280948872383 recall 0.376 [0.655,0.24,0.525,0.25,0.825,0.06,0.135,0.445,0.48,0.145] relative_absolute_error 0.6933333333332964 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.35327043465310987 root_relative_squared_error 1.1775681155103481 total_cost 0 area_under_roc_curve 0.6472222222222221 [0.825,0.691667,0.75,0.55,0.661111,0.55,0.597222,0.675,0.65,0.522222] area_under_roc_curve 0.6861111111111111 [0.825,0.647222,0.825,0.522222,0.725,0.525,0.580556,0.797222,0.825,0.588889] area_under_roc_curve 0.6611111111111111 [0.775,0.697222,0.725,0.525,0.683333,0.525,0.569444,0.722222,0.825,0.563889] area_under_roc_curve 0.6555555555555556 [0.825,0.55,0.725,0.525,0.666667,0.6,0.622222,0.672222,0.775,0.594444] area_under_roc_curve 0.6361111111111111 [0.8,0.65,0.725,0.658333,0.597222,0.55,0.494444,0.666667,0.7,0.519444] area_under_roc_curve 0.65 [0.85,0.6,0.75,0.525,0.663889,0.525,0.541667,0.775,0.75,0.519444] area_under_roc_curve 0.6694444444444444 [0.85,0.65,0.825,0.55,0.691667,0.5,0.541667,0.694444,0.775,0.616667] area_under_roc_curve 0.6527777777777777 [0.825,0.625,0.75,0.547222,0.627778,0.5,0.613889,0.819444,0.625,0.594444] area_under_roc_curve 0.6444444444444444 [0.825,0.575,0.775,0.661111,0.569444,0.5,0.522222,0.675,0.775,0.566667] area_under_roc_curve 0.6305555555555555 [0.875,0.497222,0.775,0.5,0.658333,0.525,0.519444,0.7,0.7,0.555556] 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 0.39721905016528664 [0.787879,0.516129,0.666667,0.181818,0.246914,0.181818,0.32,0.518519,0.461538,0.090909] f_measure 0.4553049307516703 [0.787879,0.444444,0.787879,0.090909,0.28777,0.095238,0.258065,0.727273,0.787879,0.285714] f_measure 0.41824086727757476 [0.709677,0.551724,0.62069,0.095238,0.25974,0.095238,0.24,0.6,0.787879,0.222222] f_measure 0.4170943165103344 [0.787879,0.181818,0.62069,0.095238,0.25,0.333333,0.384615,0.5,0.709677,0.307692] f_measure 0.37044968313695614 [0.75,0.461538,0.62069,0.245399,0.32,0.181818,0,0.466667,0.571429,0.086957] f_measure 0.38857534149704764 [0.823529,0.333333,0.666667,0.095238,0.248447,0.095238,0.16,0.709677,0.666667,0.086957] kappa 0.29444444444444445 kappa 0.3722222222222222 kappa 0.32222222222222224 kappa 0.3111111111111111 kappa 0.2722222222222222 kappa 0.3 kappa 0.33888888888888896 kappa 0.3055555555555556 kappa 0.2888888888888889 kappa 0.2611111111111111 kb_relative_information_score 0.3359439934939728 kb_relative_information_score 0.40914701783322033 kb_relative_information_score 0.36208793075798984 kb_relative_information_score 0.351630355852383 kb_relative_information_score 0.3150288436827593 kb_relative_information_score 0.3411727809467762 kb_relative_information_score 0.37777429311639993 kb_relative_information_score 0.34640156839957975 kb_relative_information_score 0.3307152060411695 kb_relative_information_score 0.3045712687771524 mean_absolute_error 0.1269999999999997 mean_absolute_error 0.11299999999999975 mean_absolute_error 0.12199999999999972 mean_absolute_error 0.12399999999999972 mean_absolute_error 0.1309999999999997 mean_absolute_error 0.12599999999999972 mean_absolute_error 0.11899999999999973 mean_absolute_error 0.12499999999999972 mean_absolute_error 0.1279999999999997 mean_absolute_error 0.13299999999999967 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 0.8168117797695262 [1,0.727273,1,1,0.140845,1,0.8,1,1,0.5] precision 0.7311923370746899 [1,0.857143,1,0.5,0.168067,1,0.363636,0.923077,1,0.5] precision 0.7966714048803601 [1,0.888889,1,1,0.149254,1,0.6,0.9,1,0.428571] precision 0.8517857142857143 [1,1,1,1,0.142857,1,0.833333,0.875,1,0.666667] precision 0.6973193473193473 [1,1,1,0.13986,0.8,1,0,0.7,1,0.333333] precision 0.7875177304964539 [1,1,1,1,0.141844,1,0.4,1,1,0.333333] predictive_accuracy 0.365 predictive_accuracy 0.435 predictive_accuracy 0.39 predictive_accuracy 0.38 predictive_accuracy 0.345 predictive_accuracy 0.37 predictive_accuracy 0.405 predictive_accuracy 0.375 predictive_accuracy 0.36 predictive_accuracy 0.335 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 0.365 [0.65,0.4,0.5,0.1,1,0.1,0.2,0.35,0.3,0.05] recall 0.435 [0.65,0.3,0.65,0.05,1,0.05,0.2,0.6,0.65,0.2] recall 0.39 [0.55,0.4,0.45,0.05,1,0.05,0.15,0.45,0.65,0.15] recall 0.38 [0.65,0.1,0.45,0.05,1,0.2,0.25,0.35,0.55,0.2] recall 0.345 [0.6,0.3,0.45,1,0.2,0.1,0,0.35,0.4,0.05] recall 0.37 [0.7,0.2,0.5,0.05,1,0.05,0.1,0.55,0.5,0.05] recall 0.405 [0.7,0.3,0.65,0.1,1,0,0.1,0.4,0.55,0.25] recall 0.375 [0.65,0.25,0.5,0.1,0.9,0,0.25,0.65,0.25,0.2] recall 0.36 [0.65,0.15,0.55,1,0.15,0,0.05,0.35,0.55,0.15] recall 0.335 [0.75,0,0.55,0,1,0.05,0.05,0.4,0.4,0.15] relative_absolute_error 0.7055555555555546 relative_absolute_error 0.6277777777777771 relative_absolute_error 0.677777777777777 relative_absolute_error 0.6888888888888881 relative_absolute_error 0.7277777777777769 relative_absolute_error 0.6999999999999993 relative_absolute_error 0.6611111111111104 relative_absolute_error 0.6944444444444435 relative_absolute_error 0.7111111111111103 relative_absolute_error 0.7388888888888878 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 0.3563705936241088 root_mean_squared_error 0.3361547262794319 root_mean_squared_error 0.34928498393145924 root_mean_squared_error 0.3521363372331798 root_mean_squared_error 0.36193922141707674 root_mean_squared_error 0.35496478698597655 root_mean_squared_error 0.3449637662132064 root_mean_squared_error 0.35355339059327334 root_mean_squared_error 0.3577708763999659 root_mean_squared_error 0.36469165057620895 root_relative_squared_error 1.1879019787470302 root_relative_squared_error 1.1205157542647737 root_relative_squared_error 1.1642832797715315 root_relative_squared_error 1.1737877907772667 root_relative_squared_error 1.2064640713902566 root_relative_squared_error 1.1832159566199225 root_relative_squared_error 1.1498792207106887 root_relative_squared_error 1.1785113019775786 root_relative_squared_error 1.1925695879998872 root_relative_squared_error 1.2156388352540304 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 1197.1081850060727 usercpu_time_millis 1208.3586720036692 usercpu_time_millis 1205.5108249987825 usercpu_time_millis 1209.997938000015 usercpu_time_millis 1211.6576280022855 usercpu_time_millis 1202.5495990019408 usercpu_time_millis 1189.3188750036643 usercpu_time_millis 1194.9449769963394 usercpu_time_millis 1194.5505339972442 usercpu_time_millis 1191.494430997409 usercpu_time_millis_testing 65.02204300340964 usercpu_time_millis_testing 65.6475590003538 usercpu_time_millis_testing 65.12727600056678 usercpu_time_millis_testing 65.38266599818598 usercpu_time_millis_testing 65.24305300263222 usercpu_time_millis_testing 64.16684400028316 usercpu_time_millis_testing 63.938767001673114 usercpu_time_millis_testing 64.78209999477258 usercpu_time_millis_testing 64.7006200015312 usercpu_time_millis_testing 64.82779700309038 usercpu_time_millis_training 1132.086142002663 usercpu_time_millis_training 1142.7111130033154 usercpu_time_millis_training 1140.3835489982157 usercpu_time_millis_training 1144.615272001829 usercpu_time_millis_training 1146.4145749996533 usercpu_time_millis_training 1138.3827550016576 usercpu_time_millis_training 1125.3801080019912 usercpu_time_millis_training 1130.1628770015668 usercpu_time_millis_training 1129.849913995713 usercpu_time_millis_training 1126.6666339943185 wall_clock_time_millis 1245.213270187378 wall_clock_time_millis 1208.470106124878 wall_clock_time_millis 1205.627679824829 wall_clock_time_millis 1210.099220275879 wall_clock_time_millis 1211.7836475372314 wall_clock_time_millis 1212.416648864746 wall_clock_time_millis 1189.4490718841553 wall_clock_time_millis 1236.5853786468506 wall_clock_time_millis 1194.678544998169 wall_clock_time_millis 1191.6542053222656 wall_clock_time_millis_testing 65.03748893737793 wall_clock_time_millis_testing 65.66286087036133 wall_clock_time_millis_testing 65.14358520507812 wall_clock_time_millis_testing 65.40060043334961 wall_clock_time_millis_testing 65.26970863342285 wall_clock_time_millis_testing 64.18442726135254 wall_clock_time_millis_testing 63.956260681152344 wall_clock_time_millis_testing 66.30897521972656 wall_clock_time_millis_testing 64.71729278564453 wall_clock_time_millis_testing 64.84436988830566 wall_clock_time_millis_training 1180.17578125 wall_clock_time_millis_training 1142.8072452545166 wall_clock_time_millis_training 1140.484094619751 wall_clock_time_millis_training 1144.6986198425293 wall_clock_time_millis_training 1146.5139389038086 wall_clock_time_millis_training 1148.2322216033936 wall_clock_time_millis_training 1125.492811203003 wall_clock_time_millis_training 1170.276403427124 wall_clock_time_millis_training 1129.9612522125244 wall_clock_time_millis_training 1126.80983543396