10372148 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) 8227491 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 10.452693667466372 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5864644897807998 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 3.116722283916533e-05 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 57050 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 21666001 description https://api.openml.org/data/download/21666001/description.xml -1 21666002 predictions https://api.openml.org/data/download/21666002/predictions.arff area_under_roc_curve 0.8555555555555555 [0.9675,0.848889,0.935278,0.857222,0.787222,0.930833,0.649167,0.851667,0.982222,0.745556] average_cost 0 f_measure 0.7395671237270167 [0.966408,0.655172,0.878412,0.796703,0.668539,0.860636,0.396501,0.755208,0.924528,0.493562] kappa 0.7111111111111111 kb_relative_information_score 0.728103052454236 mean_absolute_error 0.05200000000000047 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7507649656318423 [1,0.575758,0.871921,0.884146,0.762821,0.842105,0.475524,0.788043,0.875,0.432331] predictive_accuracy 0.74 prior_entropy 3.3219280948872383 recall 0.74 [0.935,0.76,0.885,0.725,0.595,0.88,0.34,0.725,0.98,0.575] relative_absolute_error 0.2888888888888826 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.22803508501982864 root_relative_squared_error 0.7601169500660839 total_cost 0 area_under_roc_curve 0.8305555555555554 [0.95,0.888889,0.902778,0.872222,0.797222,0.969444,0.544444,0.763889,0.988889,0.627778] area_under_roc_curve 0.8638888888888888 [1,0.875,0.936111,0.872222,0.775,0.941667,0.697222,0.791667,0.966667,0.783333] area_under_roc_curve 0.8472222222222223 [0.925,0.877778,0.897222,0.791667,0.830556,0.922222,0.661111,0.816667,0.991667,0.758333] area_under_roc_curve 0.875 [0.925,0.777778,0.972222,0.919444,0.866667,0.963889,0.7,0.841667,0.961111,0.822222] area_under_roc_curve 0.8444444444444444 [1,0.741667,0.894444,0.841667,0.752778,0.930556,0.658333,0.908333,0.997222,0.719444] area_under_roc_curve 0.8583333333333333 [0.975,0.872222,0.994444,0.844444,0.763889,0.933333,0.602778,0.888889,0.994444,0.713889] area_under_roc_curve 0.8777777777777778 [0.975,0.830556,0.947222,0.911111,0.763889,0.863889,0.736111,0.961111,0.994444,0.794444] area_under_roc_curve 0.8694444444444445 [0.975,0.866667,0.919444,0.869444,0.741667,0.891667,0.730556,0.891667,0.994444,0.813889] area_under_roc_curve 0.8555555555555556 [0.95,0.863889,0.972222,0.85,0.766667,0.916667,0.588889,0.838889,0.991667,0.816667] area_under_roc_curve 0.8333333333333335 [1,0.894444,0.916667,0.8,0.813889,0.975,0.572222,0.813889,0.941667,0.605556] 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 0.6902674049586381 [0.947368,0.68,0.755556,0.833333,0.727273,0.926829,0.176471,0.628571,0.909091,0.318182] f_measure 0.7563061265293989 [1,0.711111,0.837209,0.833333,0.709677,0.878049,0.461538,0.685714,0.904762,0.541667] f_measure 0.7277384448735351 [0.918919,0.62963,0.864865,0.685714,0.682927,0.894737,0.4375,0.722222,0.930233,0.510638] f_measure 0.7744349372439947 [0.918919,0.6,0.95,0.871795,0.789474,0.883721,0.473684,0.756757,0.863636,0.636364] f_measure 0.715294722380133 [1,0.511628,0.842105,0.756757,0.564103,0.8,0.424242,0.790698,0.97561,0.487805] f_measure 0.7367450659665016 [0.974359,0.695652,0.952381,0.777778,0.628571,0.818182,0.30303,0.8,0.952381,0.465116] f_measure 0.7766043712385176 [0.974359,0.682927,0.923077,0.809524,0.628571,0.769231,0.571429,0.863636,0.952381,0.590909] f_measure 0.7659383744490127 [0.974359,0.666667,0.871795,0.810811,0.606061,0.820513,0.540541,0.820513,0.952381,0.595745] f_measure 0.7359521115667809 [0.947368,0.653061,0.95,0.823529,0.647059,0.85,0.285714,0.736842,0.930233,0.535714] f_measure 0.7070671380463345 [1,0.708333,0.85,0.75,0.702703,0.974359,0.235294,0.702703,0.878049,0.269231] kappa 0.6611111111111111 kappa 0.7277777777777777 kappa 0.6944444444444444 kappa 0.75 kappa 0.6888888888888889 kappa 0.7166666666666667 kappa 0.7555555555555555 kappa 0.7388888888888889 kappa 0.7111111111111111 kappa 0.6666666666666666 kb_relative_information_score 0.6810439653789969 kb_relative_information_score 0.7437894148126378 kb_relative_information_score 0.7124166900958173 kb_relative_information_score 0.7647045646238513 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.7333318399070311 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7281030524542276 kb_relative_information_score 0.6862727528318004 mean_absolute_error 0.06099999999999994 mean_absolute_error 0.04899999999999999 mean_absolute_error 0.054999999999999966 mean_absolute_error 0.045 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.05199999999999998 mean_absolute_error 0.05999999999999995 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 0.7084624542124542 [1,0.566667,0.68,0.9375,0.923077,0.904762,0.214286,0.733333,0.833333,0.291667] precision 0.7818857841243424 [1,0.64,0.782609,0.9375,1,0.857143,0.473684,0.8,0.863636,0.464286] precision 0.7562130576868428 [1,0.5,0.941176,0.8,0.666667,0.944444,0.583333,0.8125,0.869565,0.444444] precision 0.7802686543725043 [1,0.6,0.95,0.894737,0.833333,0.826087,0.5,0.823529,0.791667,0.583333] precision 0.7195789940455442 [1,0.478261,0.888889,0.823529,0.578947,0.72,0.538462,0.73913,0.952381,0.47619] precision 0.7411297760210803 [1,0.615385,0.909091,0.875,0.733333,0.75,0.384615,0.8,0.909091,0.434783] precision 0.781866028708134 [1,0.666667,0.947368,0.772727,0.733333,0.789474,0.666667,0.791667,0.909091,0.541667] precision 0.7817804371983939 [1,0.571429,0.894737,0.882353,0.769231,0.842105,0.588235,0.842105,0.909091,0.518519] precision 0.770144808548107 [1,0.551724,0.95,1,0.785714,0.85,0.5,0.777778,0.869565,0.416667] precision 0.7348161764705883 [1,0.607143,0.85,1,0.764706,1,0.285714,0.764706,0.857143,0.21875] predictive_accuracy 0.695 predictive_accuracy 0.755 predictive_accuracy 0.725 predictive_accuracy 0.775 predictive_accuracy 0.72 predictive_accuracy 0.745 predictive_accuracy 0.78 predictive_accuracy 0.765 predictive_accuracy 0.74 predictive_accuracy 0.7 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 0.695 [0.9,0.85,0.85,0.75,0.6,0.95,0.15,0.55,1,0.35] recall 0.755 [1,0.8,0.9,0.75,0.55,0.9,0.45,0.6,0.95,0.65] recall 0.725 [0.85,0.85,0.8,0.6,0.7,0.85,0.35,0.65,1,0.6] recall 0.775 [0.85,0.6,0.95,0.85,0.75,0.95,0.45,0.7,0.95,0.7] recall 0.72 [1,0.55,0.8,0.7,0.55,0.9,0.35,0.85,1,0.5] recall 0.745 [0.95,0.8,1,0.7,0.55,0.9,0.25,0.8,1,0.5] recall 0.78 [0.95,0.7,0.9,0.85,0.55,0.75,0.5,0.95,1,0.65] recall 0.765 [0.95,0.8,0.85,0.75,0.5,0.8,0.5,0.8,1,0.7] recall 0.74 [0.9,0.8,0.95,0.7,0.55,0.85,0.2,0.7,1,0.75] recall 0.7 [1,0.85,0.85,0.6,0.65,0.95,0.2,0.65,0.9,0.35] relative_absolute_error 0.3388888888888889 relative_absolute_error 0.2722222222222225 relative_absolute_error 0.3055555555555557 relative_absolute_error 0.2500000000000003 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.2888888888888891 relative_absolute_error 0.3333333333333334 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 0.24698178070456928 root_mean_squared_error 0.22135943621178653 root_mean_squared_error 0.2345207879911714 root_mean_squared_error 0.21213203435596426 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.22803508501982755 root_mean_squared_error 0.24494897427831772 root_relative_squared_error 0.8232726023485647 root_relative_squared_error 0.7378647873726222 root_relative_squared_error 0.7817359599705718 root_relative_squared_error 0.707106781186548 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.7601169500660923 root_relative_squared_error 0.8164965809277261 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 761.910577002709 usercpu_time_millis 763.5849510006665 usercpu_time_millis 761.2330770025437 usercpu_time_millis 760.7725270027004 usercpu_time_millis 760.3379579995817 usercpu_time_millis 747.6371819975611 usercpu_time_millis 748.7062399995921 usercpu_time_millis 765.666332001274 usercpu_time_millis 750.6314230013231 usercpu_time_millis 758.4664019996126 usercpu_time_millis_testing 53.90518000058364 usercpu_time_millis_testing 54.085359999589855 usercpu_time_millis_testing 53.81900400243467 usercpu_time_millis_testing 53.683093003201066 usercpu_time_millis_testing 53.887517999100965 usercpu_time_millis_testing 52.83374999999069 usercpu_time_millis_testing 52.936842999770306 usercpu_time_millis_testing 53.99580700031947 usercpu_time_millis_testing 52.48115400172537 usercpu_time_millis_testing 52.98659999971278 usercpu_time_millis_training 708.0053970021254 usercpu_time_millis_training 709.4995910010766 usercpu_time_millis_training 707.414073000109 usercpu_time_millis_training 707.0894339994993 usercpu_time_millis_training 706.4504400004807 usercpu_time_millis_training 694.8034319975704 usercpu_time_millis_training 695.7693969998218 usercpu_time_millis_training 711.6705250009545 usercpu_time_millis_training 698.1502689995978 usercpu_time_millis_training 705.4798019998998 wall_clock_time_millis 761.9349956512451 wall_clock_time_millis 763.6208534240723 wall_clock_time_millis 761.2555027008057 wall_clock_time_millis 760.7934474945068 wall_clock_time_millis 760.3845596313477 wall_clock_time_millis 747.6606369018555 wall_clock_time_millis 748.7494945526123 wall_clock_time_millis 765.6915187835693 wall_clock_time_millis 750.6568431854248 wall_clock_time_millis 758.5134506225586 wall_clock_time_millis_testing 53.914785385131836 wall_clock_time_millis_testing 54.09502983093262 wall_clock_time_millis_testing 53.82704734802246 wall_clock_time_millis_testing 53.691864013671875 wall_clock_time_millis_testing 53.896427154541016 wall_clock_time_millis_testing 52.84380912780762 wall_clock_time_millis_testing 52.94537544250488 wall_clock_time_millis_testing 54.00681495666504 wall_clock_time_millis_testing 52.490949630737305 wall_clock_time_millis_testing 52.99854278564453 wall_clock_time_millis_training 708.0202102661133 wall_clock_time_millis_training 709.5258235931396 wall_clock_time_millis_training 707.4284553527832 wall_clock_time_millis_training 707.101583480835 wall_clock_time_millis_training 706.4881324768066 wall_clock_time_millis_training 694.8168277740479 wall_clock_time_millis_training 695.8041191101074 wall_clock_time_millis_training 711.6847038269043 wall_clock_time_millis_training 698.1658935546875 wall_clock_time_millis_training 705.5149078369141