10328596 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) 8184239 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 690.6018801899403 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.6356144967116901 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.0008714226148272087 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 21032 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 21578878 description https://api.openml.org/data/download/21578878/description.xml -1 21578879 predictions https://api.openml.org/data/download/21578879/predictions.arff area_under_roc_curve 0.9086111111111111 [0.9975,0.890833,0.965278,0.928611,0.891667,0.943611,0.7825,0.938611,0.983889,0.763611] average_cost 0 f_measure 0.8362765364047241 [0.997494,0.784504,0.946835,0.876574,0.805,0.910941,0.595642,0.887781,0.974874,0.58312] kappa 0.8172222222222223 kb_relative_information_score 0.8279728928027752 mean_absolute_error 0.0329000000000002 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.83749411566942 [1,0.760563,0.958974,0.883249,0.805,0.927461,0.577465,0.885572,0.979798,0.596859] predictive_accuracy 0.8355 prior_entropy 3.3219280948872383 recall 0.8355 [0.995,0.81,0.935,0.87,0.805,0.895,0.615,0.89,0.97,0.57] relative_absolute_error 0.18277777777777326 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1813835714721711 root_relative_squared_error 0.6046119049072278 total_cost 0 area_under_roc_curve 0.9166666666666669 [0.975,0.930556,0.997222,0.9,0.933333,0.975,0.85,0.872222,0.997222,0.736111] area_under_roc_curve 0.8888888888888888 [1,0.855556,0.919444,0.916667,0.861111,0.941667,0.705556,0.919444,0.975,0.794444] area_under_roc_curve 0.9111111111111113 [1,0.936111,0.975,0.897222,0.955556,0.947222,0.747222,0.947222,1,0.705556] area_under_roc_curve 0.9388888888888889 [1,0.891667,0.975,0.983333,0.972222,0.925,0.883333,0.947222,0.975,0.836111] area_under_roc_curve 0.8805555555555555 [1,0.85,0.925,0.916667,0.841667,0.888889,0.677778,0.938889,1,0.766667] area_under_roc_curve 0.9111111111111111 [1,0.886111,0.947222,0.866667,0.841667,0.966667,0.872222,0.969444,1,0.761111] area_under_roc_curve 0.9194444444444442 [1,0.894444,0.95,0.966667,0.886111,0.897222,0.855556,0.988889,0.997222,0.758333] area_under_roc_curve 0.9222222222222223 [1,0.888889,0.997222,0.944444,0.866667,0.972222,0.85,0.919444,0.947222,0.836111] area_under_roc_curve 0.9111111111111111 [1,0.866667,0.997222,0.997222,0.894444,0.95,0.652778,0.988889,1,0.763889] area_under_roc_curve 0.8861111111111112 [1,0.908333,0.969444,0.897222,0.863889,0.972222,0.730556,0.894444,0.947222,0.677778] 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 0.8493588254563863 [0.974359,0.8,0.97561,0.888889,0.818182,0.974359,0.681818,0.833333,0.97561,0.571429] f_measure 0.8001192303631328 [1,0.714286,0.871795,0.85,0.75,0.878049,0.5,0.871795,0.974359,0.590909] f_measure 0.8385259310078665 [1,0.837209,0.974359,0.864865,0.826087,0.923077,0.536585,0.923077,1,0.5] f_measure 0.8910645308471394 [1,0.820513,0.974359,0.869565,0.95,0.918919,0.761905,0.923077,0.974359,0.717949] f_measure 0.7854535704535703 [1,0.681818,0.918919,0.85,0.756757,0.8,0.444444,0.857143,1,0.545455] f_measure 0.8388149627000998 [1,0.780488,0.923077,0.789474,0.756757,0.904762,0.695652,0.926829,1,0.611111] f_measure 0.8533169232784124 [1,0.842105,0.947368,0.904762,0.780488,0.864865,0.714286,0.909091,0.97561,0.594595] f_measure 0.8609722134946781 [1,0.8,0.97561,0.9,0.789474,0.95,0.681818,0.871795,0.923077,0.717949] f_measure 0.8372591123040416 [1,0.789474,0.97561,0.97561,0.842105,0.947368,0.4,0.909091,1,0.533333] f_measure 0.7979334313869161 [1,0.790698,0.926829,0.864865,0.769231,0.95,0.468085,0.842105,0.923077,0.444444] kappa 0.8333333333333333 kappa 0.7777777777777778 kappa 0.8222222222222222 kappa 0.8777777777777778 kappa 0.7611111111111112 kappa 0.8222222222222222 kappa 0.8388888888888889 kappa 0.8444444444444444 kappa 0.8222222222222222 kappa 0.7722222222222223 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8849666760383273 kb_relative_information_score 0.7751621395294579 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.7856197144350645 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.022000000000000006 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.041000000000000016 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 0.8603928571428571 [1,0.72,0.952381,1,0.75,1,0.625,0.9375,0.952381,0.666667] precision 0.8032601389838233 [1,0.681818,0.894737,0.85,0.75,0.857143,0.5625,0.894737,1,0.541667] precision 0.8435600762924426 [1,0.782609,1,0.941176,0.730769,0.947368,0.52381,0.947368,1,0.5625] precision 0.8972819285977179 [1,0.842105,1,0.769231,0.95,1,0.727273,0.947368,1,0.736842] precision 0.7916711229946525 [1,0.625,1,0.85,0.823529,0.8,0.5,0.818182,1,0.5] precision 0.8437418811838316 [1,0.761905,0.947368,0.833333,0.823529,0.863636,0.615385,0.904762,1,0.6875] precision 0.8570197776080128 [1,0.888889,1,0.863636,0.761905,0.941176,0.681818,0.833333,0.952381,0.647059] precision 0.8639661654135338 [1,0.8,0.952381,0.9,0.833333,0.95,0.625,0.894737,0.947368,0.736842] precision 0.8406984126984127 [1,0.833333,0.952381,0.952381,0.888889,1,0.466667,0.833333,1,0.48] precision 0.8068207211692203 [1,0.73913,0.904762,0.941176,0.789474,0.95,0.407407,0.888889,0.947368,0.5] predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.89 predictive_accuracy 0.785 predictive_accuracy 0.84 predictive_accuracy 0.855 predictive_accuracy 0.86 predictive_accuracy 0.84 predictive_accuracy 0.795 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 0.85 [0.95,0.9,1,0.8,0.9,0.95,0.75,0.75,1,0.5] recall 0.8 [1,0.75,0.85,0.85,0.75,0.9,0.45,0.85,0.95,0.65] recall 0.84 [1,0.9,0.95,0.8,0.95,0.9,0.55,0.9,1,0.45] recall 0.89 [1,0.8,0.95,1,0.95,0.85,0.8,0.9,0.95,0.7] recall 0.785 [1,0.75,0.85,0.85,0.7,0.8,0.4,0.9,1,0.6] recall 0.84 [1,0.8,0.9,0.75,0.7,0.95,0.8,0.95,1,0.55] recall 0.855 [1,0.8,0.9,0.95,0.8,0.8,0.75,1,1,0.55] recall 0.86 [1,0.8,1,0.9,0.75,0.95,0.75,0.85,0.9,0.7] recall 0.84 [1,0.75,1,1,0.8,0.9,0.35,1,1,0.6] recall 0.795 [1,0.85,0.95,0.8,0.75,0.95,0.55,0.8,0.9,0.4] relative_absolute_error 0.16666666666666693 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.1222222222222224 relative_absolute_error 0.2388888888888892 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.2277777777777781 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 0.17320508075688776 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.14832396974191328 root_mean_squared_error 0.20736441353327723 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.20248456731316591 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.49441323247304453 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6749485577105534 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 363.5000520007452 usercpu_time_millis 362.0701999971061 usercpu_time_millis 356.61473900836427 usercpu_time_millis 379.83935700322036 usercpu_time_millis 359.48590600310126 usercpu_time_millis 361.5281199963647 usercpu_time_millis 357.65534700476564 usercpu_time_millis 357.9237999947509 usercpu_time_millis 366.36708300648024 usercpu_time_millis 371.94323500443716 usercpu_time_millis_testing 35.6105290047708 usercpu_time_millis_testing 36.25001799809979 usercpu_time_millis_testing 35.1899540037266 usercpu_time_millis_testing 35.866703001374844 usercpu_time_millis_testing 35.40982200502185 usercpu_time_millis_testing 34.871240000939 usercpu_time_millis_testing 35.469441005261615 usercpu_time_millis_testing 35.91032699478092 usercpu_time_millis_testing 36.40847800124902 usercpu_time_millis_testing 35.76080100174295 usercpu_time_millis_training 327.8895229959744 usercpu_time_millis_training 325.8201819990063 usercpu_time_millis_training 321.42478500463767 usercpu_time_millis_training 343.9726540018455 usercpu_time_millis_training 324.0760839980794 usercpu_time_millis_training 326.6568799954257 usercpu_time_millis_training 322.18590599950403 usercpu_time_millis_training 322.01347299996996 usercpu_time_millis_training 329.9586050052312 usercpu_time_millis_training 336.1824340026942 wall_clock_time_millis 387.59374618530273 wall_clock_time_millis 386.1196041107178 wall_clock_time_millis 364.66407775878906 wall_clock_time_millis 411.88669204711914 wall_clock_time_millis 359.5309257507324 wall_clock_time_millis 497.5860118865967 wall_clock_time_millis 457.7009677886963 wall_clock_time_millis 437.9854202270508 wall_clock_time_millis 466.4340019226074 wall_clock_time_millis 507.997989654541 wall_clock_time_millis_testing 35.626888275146484 wall_clock_time_millis_testing 36.26561164855957 wall_clock_time_millis_testing 35.20512580871582 wall_clock_time_millis_testing 67.88325309753418 wall_clock_time_millis_testing 35.42661666870117 wall_clock_time_millis_testing 34.88636016845703 wall_clock_time_millis_testing 35.48479080200195 wall_clock_time_millis_testing 51.92995071411133 wall_clock_time_millis_testing 68.42899322509766 wall_clock_time_millis_testing 59.778451919555664 wall_clock_time_millis_training 351.96685791015625 wall_clock_time_millis_training 349.8539924621582 wall_clock_time_millis_training 329.45895195007324 wall_clock_time_millis_training 344.00343894958496 wall_clock_time_millis_training 324.10430908203125 wall_clock_time_millis_training 462.69965171813965 wall_clock_time_millis_training 422.21617698669434 wall_clock_time_millis_training 386.05546951293945 wall_clock_time_millis_training 398.00500869750977 wall_clock_time_millis_training 448.21953773498535