10372907 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) 8228250 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 0.05577533052194334 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.34023879996621864 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.0758062246427197 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 39038 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 21667519 description https://api.openml.org/data/download/21667519/description.xml -1 21667520 predictions https://api.openml.org/data/download/21667520/predictions.arff area_under_roc_curve 0.8958333333333334 [0.995,0.862778,0.964722,0.913056,0.861667,0.954444,0.692778,0.956944,0.986111,0.770833] average_cost 0 f_measure 0.8110580162887078 [0.994975,0.7343,0.942065,0.872063,0.783069,0.910891,0.477528,0.864368,0.975,0.556322] kappa 0.7916666666666666 kb_relative_information_score 0.803920470519881 mean_absolute_error 0.03750000000000026 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8140274128887007 [1,0.71028,0.949239,0.912568,0.831461,0.901961,0.544872,0.8,0.975,0.514894] predictive_accuracy 0.8125 prior_entropy 3.3219280948872383 recall 0.8125 [0.99,0.76,0.935,0.835,0.74,0.92,0.425,0.94,0.975,0.605] relative_absolute_error 0.20833333333332837 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19364916731037152 root_relative_squared_error 0.6454972243678953 total_cost 0 area_under_roc_curve 0.8777777777777779 [0.975,0.894444,0.972222,0.872222,0.916667,1,0.569444,0.888889,0.997222,0.691667] area_under_roc_curve 0.8972222222222221 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.711111,0.933333,0.972222,0.819444] area_under_roc_curve 0.9055555555555556 [1,0.883333,0.975,0.894444,0.911111,0.944444,0.705556,0.916667,1,0.825] area_under_roc_curve 0.9111111111111111 [0.975,0.838889,0.975,0.969444,0.908333,0.941667,0.788889,0.916667,0.972222,0.825] area_under_roc_curve 0.8916666666666667 [1,0.788889,0.975,0.916667,0.866667,0.941667,0.683333,0.977778,1,0.766667] area_under_roc_curve 0.9055555555555556 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.75,0.991667,1,0.719444] area_under_roc_curve 0.886111111111111 [1,0.858333,0.925,0.941667,0.819444,0.938889,0.702778,0.980556,1,0.694444] area_under_roc_curve 0.9166666666666667 [1,0.877778,0.947222,0.919444,0.872222,0.947222,0.808333,0.991667,0.972222,0.830556] area_under_roc_curve 0.8944444444444444 [1,0.836111,0.997222,0.947222,0.766667,0.969444,0.608333,0.986111,1,0.833333] area_under_roc_curve 0.872222222222222 [1,0.872222,0.916667,0.85,0.872222,0.975,0.6,0.986111,0.947222,0.702778] 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 0.7759231215938533 [0.974359,0.708333,0.95,0.833333,0.85,1,0.228571,0.8,0.97561,0.439024] f_measure 0.812174029586625 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.529412,0.818182,0.95,0.622222] f_measure 0.8289055599643115 [1,0.761905,0.974359,0.842105,0.809524,0.9,0.5,0.85,1,0.651163] f_measure 0.839896523454454 [0.974359,0.736842,0.974359,0.926829,0.790698,0.878049,0.666667,0.85,0.95,0.651163] f_measure 0.8007924219805967 [1,0.666667,0.974359,0.85,0.789474,0.878049,0.470588,0.833333,1,0.545455] f_measure 0.8299658792199915 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.55,0.930233,1,0.487805] f_measure 0.7916225332753615 [1,0.731707,0.918919,0.878049,0.742857,0.857143,0.486486,0.851064,1,0.45] f_measure 0.8508380832629274 [1,0.727273,0.923077,0.871795,0.833333,0.923077,0.666667,0.930233,0.95,0.682927] f_measure 0.8001993022995475 [1,0.717949,0.97561,0.923077,0.647059,0.926829,0.322581,0.888889,1,0.6] f_measure 0.7708489267288309 [1,0.695652,0.85,0.823529,0.833333,0.974359,0.294118,0.888889,0.923077,0.425532] kappa 0.7555555555555555 kappa 0.7944444444444444 kappa 0.8111111111111111 kappa 0.8222222222222222 kappa 0.7833333333333334 kappa 0.8111111111111111 kappa 0.7722222222222223 kappa 0.8333333333333333 kappa 0.788888888888889 kappa 0.7444444444444445 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.759475777171048 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.046 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 0.7792261904761905 [1,0.607143,0.95,0.9375,0.85,1,0.266667,0.8,0.952381,0.428571] precision 0.8177056455756145 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.642857,0.75,0.95,0.56] precision 0.8310084541062801 [1,0.727273,1,0.888889,0.772727,0.9,0.5625,0.85,1,0.608696] precision 0.8437508626639061 [1,0.777778,1,0.904762,0.73913,0.857143,0.75,0.85,0.95,0.608696] precision 0.8076190476190476 [1,0.75,1,0.85,0.833333,0.857143,0.571429,0.714286,1,0.5] precision 0.833764919739479 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.55,0.869565,1,0.47619] precision 0.797642956172368 [1,0.714286,1,0.857143,0.866667,0.818182,0.529412,0.740741,1,0.45] precision 0.8564082761250954 [1,0.666667,0.947368,0.894737,0.9375,0.947368,0.684211,0.869565,0.95,0.666667] precision 0.8081613123718386 [1,0.736842,0.952381,0.947368,0.785714,0.904762,0.454545,0.8,1,0.5] precision 0.7877766263950474 [1,0.615385,0.85,1,0.9375,1,0.357143,0.8,0.947368,0.37037] predictive_accuracy 0.78 predictive_accuracy 0.815 predictive_accuracy 0.83 predictive_accuracy 0.84 predictive_accuracy 0.805 predictive_accuracy 0.83 predictive_accuracy 0.795 predictive_accuracy 0.85 predictive_accuracy 0.81 predictive_accuracy 0.77 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 0.78 [0.95,0.85,0.95,0.75,0.85,1,0.2,0.8,1,0.45] recall 0.815 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.7] recall 0.83 [1,0.8,0.95,0.8,0.85,0.9,0.45,0.85,1,0.7] recall 0.84 [0.95,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.7] recall 0.805 [1,0.6,0.95,0.85,0.75,0.9,0.4,1,1,0.6] recall 0.83 [1,0.8,1,0.8,0.75,0.9,0.55,1,1,0.5] recall 0.795 [1,0.75,0.85,0.9,0.65,0.9,0.45,1,1,0.45] recall 0.85 [1,0.8,0.9,0.85,0.75,0.9,0.65,1,0.95,0.7] recall 0.81 [1,0.7,1,0.9,0.55,0.95,0.25,1,1,0.75] recall 0.77 [1,0.8,0.85,0.7,0.75,0.95,0.25,1,0.9,0.5] relative_absolute_error 0.24444444444444474 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.2555555555555558 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 0.20976176963403032 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.21447610589527216 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.714920352984241 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 364.6516669978155 usercpu_time_millis 375.1797609984351 usercpu_time_millis 367.50236700027017 usercpu_time_millis 378.0377219991351 usercpu_time_millis 377.6055210037157 usercpu_time_millis 377.64723199870787 usercpu_time_millis 383.84276400029194 usercpu_time_millis 328.3376630024577 usercpu_time_millis 259.7037919986178 usercpu_time_millis 380.21174799723667 usercpu_time_millis_testing 37.45644399896264 usercpu_time_millis_testing 38.61396099819103 usercpu_time_millis_testing 38.03289799907361 usercpu_time_millis_testing 39.25333599909209 usercpu_time_millis_testing 39.41705200122669 usercpu_time_millis_testing 39.73005100124283 usercpu_time_millis_testing 40.408204000414116 usercpu_time_millis_testing 26.05398400191916 usercpu_time_millis_testing 26.624253998306813 usercpu_time_millis_testing 39.73825399953057 usercpu_time_millis_training 327.19522299885284 usercpu_time_millis_training 336.56580000024405 usercpu_time_millis_training 329.46946900119656 usercpu_time_millis_training 338.784386000043 usercpu_time_millis_training 338.188469002489 usercpu_time_millis_training 337.91718099746504 usercpu_time_millis_training 343.4345599998778 usercpu_time_millis_training 302.28367900053854 usercpu_time_millis_training 233.079538000311 usercpu_time_millis_training 340.4734939977061 wall_clock_time_millis 364.6681308746338 wall_clock_time_millis 375.28109550476074 wall_clock_time_millis 367.5191402435303 wall_clock_time_millis 378.0689239501953 wall_clock_time_millis 379.7876834869385 wall_clock_time_millis 380.6135654449463 wall_clock_time_millis 384.61947441101074 wall_clock_time_millis 328.387975692749 wall_clock_time_millis 259.7174644470215 wall_clock_time_millis 380.2309036254883 wall_clock_time_millis_testing 37.46509552001953 wall_clock_time_millis_testing 38.62738609313965 wall_clock_time_millis_testing 38.039207458496094 wall_clock_time_millis_testing 39.263248443603516 wall_clock_time_millis_testing 39.42537307739258 wall_clock_time_millis_testing 40.1151180267334 wall_clock_time_millis_testing 40.441036224365234 wall_clock_time_millis_testing 26.06034278869629 wall_clock_time_millis_testing 26.632070541381836 wall_clock_time_millis_testing 39.74795341491699 wall_clock_time_millis_training 327.20303535461426 wall_clock_time_millis_training 336.6537094116211 wall_clock_time_millis_training 329.4799327850342 wall_clock_time_millis_training 338.8056755065918 wall_clock_time_millis_training 340.3623104095459 wall_clock_time_millis_training 340.4984474182129 wall_clock_time_millis_training 344.1784381866455 wall_clock_time_millis_training 302.32763290405273 wall_clock_time_millis_training 233.08539390563965 wall_clock_time_millis_training 340.4829502105713