10373036 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) 8228377 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 1.157552785071378 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.3832400736103765 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.060575345200107815 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 11784 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 21667777 description https://api.openml.org/data/download/21667777/description.xml -1 21667778 predictions https://api.openml.org/data/download/21667778/predictions.arff area_under_roc_curve 0.778611111111111 [0.955833,0.7925,0.876389,0.805,0.647222,0.784444,0.632778,0.780278,0.887778,0.623889] average_cost 0 f_measure 0.6011579038403352 [0.904645,0.629723,0.8,0.658163,0.357143,0.638298,0.34555,0.575406,0.777778,0.324873] kappa 0.5572222222222223 kb_relative_information_score 0.5832656400115873 mean_absolute_error 0.07969999999999974 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6028387191020526 [0.885167,0.634518,0.832432,0.671875,0.340909,0.681818,0.362637,0.536797,0.752336,0.329897] predictive_accuracy 0.6015 prior_entropy 3.3219280948872383 recall 0.6015 [0.925,0.625,0.77,0.645,0.375,0.6,0.33,0.62,0.805,0.32] relative_absolute_error 0.4427777777777627 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.28231188426986165 root_relative_squared_error 0.9410396142328579 total_cost 0 area_under_roc_curve 0.8055555555555556 [0.922222,0.847222,0.897222,0.761111,0.758333,0.816667,0.683333,0.863889,0.925,0.580556] area_under_roc_curve 0.7638888888888887 [0.916667,0.775,0.791667,0.827778,0.541667,0.886111,0.669444,0.763889,0.852778,0.613889] area_under_roc_curve 0.75 [0.916667,0.822222,0.863889,0.783333,0.608333,0.805556,0.580556,0.65,0.852778,0.616667] area_under_roc_curve 0.786111111111111 [0.944444,0.730556,0.847222,0.886111,0.722222,0.683333,0.675,0.716667,0.941667,0.713889] area_under_roc_curve 0.7777777777777777 [0.966667,0.713889,0.841667,0.825,0.677778,0.680556,0.652778,0.786111,0.963889,0.669444] area_under_roc_curve 0.8 [0.966667,0.833333,0.944444,0.869444,0.636111,0.886111,0.577778,0.847222,0.863889,0.575] area_under_roc_curve 0.775 [0.988889,0.761111,0.863889,0.836111,0.697222,0.783333,0.627778,0.85,0.813889,0.527778] area_under_roc_curve 0.8083333333333332 [0.972222,0.827778,0.944444,0.755556,0.644444,0.761111,0.672222,0.886111,0.911111,0.708333] area_under_roc_curve 0.7555555555555555 [0.969444,0.752778,0.888889,0.813889,0.541667,0.769444,0.577778,0.738889,0.872222,0.630556] area_under_roc_curve 0.7638888888888888 [0.994444,0.861111,0.880556,0.691667,0.644444,0.772222,0.611111,0.7,0.880556,0.602778] 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 0.647258364610169 [0.894737,0.666667,0.864865,0.611111,0.510638,0.722222,0.409091,0.769231,0.765957,0.258065] f_measure 0.5688619652232811 [0.85,0.585366,0.685714,0.666667,0.171429,0.780488,0.410256,0.533333,0.697674,0.307692] f_measure 0.5476111499994235 [0.85,0.636364,0.769231,0.631579,0.292683,0.65,0.243902,0.388889,0.697674,0.315789] f_measure 0.6183404548893187 [0.9,0.540541,0.8,0.780488,0.44,0.470588,0.432432,0.47619,0.878049,0.465116] f_measure 0.5953752032490496 [0.904762,0.545455,0.756757,0.651163,0.391304,0.457143,0.4,0.553191,0.883721,0.410256] f_measure 0.6235885866425565 [0.904762,0.7,0.9,0.680851,0.341463,0.780488,0.25,0.666667,0.769231,0.242424] f_measure 0.5898735388054274 [0.909091,0.611111,0.769231,0.717949,0.461538,0.631579,0.352941,0.592593,0.702703,0.15] f_measure 0.6530654889255659 [0.95,0.666667,0.9,0.578947,0.368421,0.611111,0.421053,0.780488,0.809524,0.444444] f_measure 0.562021260818765 [0.926829,0.564103,0.8,0.702703,0.171429,0.55814,0.238095,0.5,0.833333,0.325581] f_measure 0.5780469388963781 [0.952381,0.75,0.744186,0.516129,0.333333,0.6875,0.3,0.473684,0.744186,0.27907] kappa 0.6111111111111112 kappa 0.5277777777777778 kappa 0.5000000000000001 kappa 0.5722222222222222 kappa 0.5555555555555556 kappa 0.6 kappa 0.5499999999999999 kappa 0.6166666666666667 kappa 0.5111111111111112 kappa 0.5277777777777778 kb_relative_information_score 0.6339848783037666 kb_relative_information_score 0.5555530665117157 kb_relative_information_score 0.5294091292476987 kb_relative_information_score 0.5973833661341427 kb_relative_information_score 0.5816970037757325 kb_relative_information_score 0.6235273033981599 kb_relative_information_score 0.5764682163229292 kb_relative_information_score 0.6392136657565699 kb_relative_information_score 0.5398667041533054 kb_relative_information_score 0.5555530665117157 mean_absolute_error 0.06999999999999991 mean_absolute_error 0.08499999999999985 mean_absolute_error 0.08999999999999984 mean_absolute_error 0.07699999999999989 mean_absolute_error 0.07999999999999988 mean_absolute_error 0.0719999999999999 mean_absolute_error 0.08099999999999988 mean_absolute_error 0.06899999999999991 mean_absolute_error 0.08799999999999984 mean_absolute_error 0.08499999999999985 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 0.6624842073990681 [0.944444,0.6,0.941176,0.6875,0.444444,0.8125,0.375,0.789474,0.666667,0.363636] precision 0.5688712988003605 [0.85,0.571429,0.8,0.636364,0.2,0.761905,0.421053,0.48,0.652174,0.315789] precision 0.5486290454396862 [0.85,0.583333,0.789474,0.666667,0.285714,0.65,0.238095,0.4375,0.652174,0.333333] precision 0.6338627783129062 [0.9,0.588235,0.933333,0.761905,0.366667,0.571429,0.470588,0.454545,0.857143,0.434783] precision 0.6062944035618689 [0.863636,0.692308,0.823529,0.608696,0.346154,0.533333,0.466667,0.481481,0.826087,0.421053] precision 0.618196637670322 [0.863636,0.7,0.9,0.592593,0.333333,0.761905,0.333333,0.6,0.789474,0.307692] precision 0.6001365546218487 [0.833333,0.6875,0.789474,0.736842,0.473684,0.666667,0.428571,0.470588,0.764706,0.15] precision 0.6552940115440115 [0.95,0.636364,0.9,0.611111,0.388889,0.6875,0.444444,0.761905,0.772727,0.4] precision 0.5697608172663698 [0.904762,0.578947,0.8,0.764706,0.2,0.521739,0.227273,0.458333,0.9375,0.304348] precision 0.6040918501788066 [0.909091,0.75,0.695652,0.727273,0.285714,0.916667,0.3,0.5,0.695652,0.26087] predictive_accuracy 0.65 predictive_accuracy 0.575 predictive_accuracy 0.55 predictive_accuracy 0.615 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.595 predictive_accuracy 0.655 predictive_accuracy 0.56 predictive_accuracy 0.575 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 0.65 [0.85,0.75,0.8,0.55,0.6,0.65,0.45,0.75,0.9,0.2] recall 0.575 [0.85,0.6,0.6,0.7,0.15,0.8,0.4,0.6,0.75,0.3] recall 0.55 [0.85,0.7,0.75,0.6,0.3,0.65,0.25,0.35,0.75,0.3] recall 0.615 [0.9,0.5,0.7,0.8,0.55,0.4,0.4,0.5,0.9,0.5] recall 0.6 [0.95,0.45,0.7,0.7,0.45,0.4,0.35,0.65,0.95,0.4] recall 0.64 [0.95,0.7,0.9,0.8,0.35,0.8,0.2,0.75,0.75,0.2] recall 0.595 [1,0.55,0.75,0.7,0.45,0.6,0.3,0.8,0.65,0.15] recall 0.655 [0.95,0.7,0.9,0.55,0.35,0.55,0.4,0.8,0.85,0.5] recall 0.56 [0.95,0.55,0.8,0.65,0.15,0.6,0.25,0.55,0.75,0.35] recall 0.575 [1,0.75,0.8,0.4,0.4,0.55,0.3,0.45,0.8,0.3] relative_absolute_error 0.38888888888888884 relative_absolute_error 0.47222222222222193 relative_absolute_error 0.49999999999999967 relative_absolute_error 0.42777777777777765 relative_absolute_error 0.4444444444444442 relative_absolute_error 0.39999999999999986 relative_absolute_error 0.4499999999999998 relative_absolute_error 0.3833333333333332 relative_absolute_error 0.4888888888888886 relative_absolute_error 0.47222222222222193 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 0.26457513110645886 root_mean_squared_error 0.29154759474226477 root_mean_squared_error 0.29999999999999977 root_mean_squared_error 0.277488738510232 root_mean_squared_error 0.2828427124746188 root_mean_squared_error 0.26832815729997456 root_mean_squared_error 0.28460498941515394 root_mean_squared_error 0.2626785107312738 root_mean_squared_error 0.29664793948382623 root_mean_squared_error 0.29154759474226477 root_relative_squared_error 0.8819171036881969 root_relative_squared_error 0.9718253158075498 root_relative_squared_error 0.9999999999999997 root_relative_squared_error 0.9249624617007739 root_relative_squared_error 0.9428090415820631 root_relative_squared_error 0.8944271909999157 root_relative_squared_error 0.9486832980505135 root_relative_squared_error 0.875595035770913 root_relative_squared_error 0.9888264649460881 root_relative_squared_error 0.9718253158075498 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 329.42353100224864 usercpu_time_millis 328.8246400006756 usercpu_time_millis 324.83933600087767 usercpu_time_millis 331.06021000276087 usercpu_time_millis 323.616628000309 usercpu_time_millis 330.22752499527996 usercpu_time_millis 334.4448960015143 usercpu_time_millis 326.7766240060155 usercpu_time_millis 323.2108789998165 usercpu_time_millis 324.83150999905774 usercpu_time_millis_testing 45.6871759997739 usercpu_time_millis_testing 45.883389000664465 usercpu_time_millis_testing 45.85341900019557 usercpu_time_millis_testing 45.728164001047844 usercpu_time_millis_testing 45.13651299930643 usercpu_time_millis_testing 46.30688799807103 usercpu_time_millis_testing 45.27429700101493 usercpu_time_millis_testing 45.619064003403764 usercpu_time_millis_testing 45.80237999834935 usercpu_time_millis_testing 45.36251299941796 usercpu_time_millis_training 283.73635500247474 usercpu_time_millis_training 282.9412510000111 usercpu_time_millis_training 278.9859170006821 usercpu_time_millis_training 285.332046001713 usercpu_time_millis_training 278.48011500100256 usercpu_time_millis_training 283.92063699720893 usercpu_time_millis_training 289.17059900049935 usercpu_time_millis_training 281.1575600026117 usercpu_time_millis_training 277.40849900146713 usercpu_time_millis_training 279.4689969996398 wall_clock_time_millis 332.43727684020996 wall_clock_time_millis 328.8419246673584 wall_clock_time_millis 324.8560428619385 wall_clock_time_millis 331.0742378234863 wall_clock_time_millis 323.6355781555176 wall_clock_time_millis 330.2454948425293 wall_clock_time_millis 334.4745635986328 wall_clock_time_millis 326.793909072876 wall_clock_time_millis 323.44865798950195 wall_clock_time_millis 324.88298416137695 wall_clock_time_millis_testing 45.81189155578613 wall_clock_time_millis_testing 45.89271545410156 wall_clock_time_millis_testing 45.86219787597656 wall_clock_time_millis_testing 45.73535919189453 wall_clock_time_millis_testing 45.14646530151367 wall_clock_time_millis_testing 46.31662368774414 wall_clock_time_millis_testing 45.28331756591797 wall_clock_time_millis_testing 45.627593994140625 wall_clock_time_millis_testing 45.810699462890625 wall_clock_time_millis_testing 45.37177085876465 wall_clock_time_millis_training 286.6253852844238 wall_clock_time_millis_training 282.94920921325684 wall_clock_time_millis_training 278.9938449859619 wall_clock_time_millis_training 285.3388786315918 wall_clock_time_millis_training 278.4891128540039 wall_clock_time_millis_training 283.92887115478516 wall_clock_time_millis_training 289.19124603271484 wall_clock_time_millis_training 281.16631507873535 wall_clock_time_millis_training 277.6379585266113 wall_clock_time_millis_training 279.5112133026123