10403717 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8241484 C 2243.7148060052336 16360 cache_size 200 16360 class_weight null 16360 coef0 0.4321112261139166 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.041783952969886955 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 4111 16360 shrinking false 16360 tol 0.03616966878364668 16360 verbose false 16360 openml-python Sklearn_0.21.2. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21729219 description https://api.openml.org/data/download/21729219/description.xml -1 21729220 predictions https://api.openml.org/data/download/21729220/predictions.arff area_under_roc_curve 0.9144444444444446 [0.999722,0.893333,0.952778,0.938611,0.873889,0.953333,0.804444,0.960833,0.984722,0.782778] average_cost 0 f_measure 0.8461843457309423 [0.997506,0.773585,0.933333,0.887781,0.796875,0.919598,0.643564,0.909976,0.982278,0.617347] kappa 0.8288888888888889 kb_relative_information_score 0.8389533464536619 mean_absolute_error 0.030800000000000168 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8474989726619724 [0.995025,0.732143,0.957895,0.885572,0.831522,0.924242,0.637255,0.886256,0.994872,0.630208] predictive_accuracy 0.846 prior_entropy 3.3219280948872383 recall 0.846 [1,0.82,0.91,0.89,0.765,0.915,0.65,0.935,0.97,0.605] relative_absolute_error 0.17111111111110677 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17549928774784293 root_relative_squared_error 0.584997625826134 total_cost 0 area_under_roc_curve 0.9194444444444444 [1,0.952778,0.947222,0.925,0.938889,0.975,0.866667,0.925,1,0.663889] area_under_roc_curve 0.9027777777777777 [1,0.880556,0.922222,0.925,0.861111,0.941667,0.730556,0.966667,1,0.8] area_under_roc_curve 0.9138888888888889 [1,0.922222,0.922222,0.897222,0.961111,0.947222,0.827778,0.897222,1,0.763889] area_under_roc_curve 0.9527777777777777 [1,0.938889,0.975,0.994444,0.941667,0.947222,0.919444,0.947222,0.975,0.888889] area_under_roc_curve 0.886111111111111 [0.997222,0.861111,0.95,0.911111,0.766667,0.936111,0.747222,0.963889,1,0.727778] area_under_roc_curve 0.9055555555555556 [1,0.836111,0.972222,0.888889,0.844444,0.963889,0.847222,0.994444,0.975,0.733333] area_under_roc_curve 0.925 [1,0.888889,0.925,0.994444,0.916667,0.975,0.808333,0.961111,1,0.780556] area_under_roc_curve 0.913888888888889 [1,0.861111,0.972222,0.966667,0.841667,0.947222,0.802778,0.994444,0.922222,0.830556] area_under_roc_curve 0.9222222222222223 [1,0.863889,0.997222,0.988889,0.844444,0.925,0.741667,0.988889,1,0.872222] area_under_roc_curve 0.9027777777777779 [1,0.927778,0.944444,0.894444,0.822222,0.975,0.752778,0.969444,0.975,0.766667] 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 0.8519206800606938 [1,0.808511,0.923077,0.918919,0.857143,0.974359,0.666667,0.918919,1,0.451613] f_measure 0.8250240652373679 [1,0.744186,0.894737,0.918919,0.75,0.878049,0.540541,0.904762,1,0.619048] f_measure 0.8456417953786375 [1,0.75,0.894737,0.864865,0.863636,0.923077,0.666667,0.864865,1,0.628571] f_measure 0.915423925667828 [1,0.857143,0.974359,0.952381,0.878049,0.923077,0.871795,0.923077,0.974359,0.8] f_measure 0.7913392198088895 [0.97561,0.75,0.947368,0.809524,0.647059,0.837209,0.536585,0.883721,1,0.526316] f_measure 0.8278409574921203 [1,0.717949,0.95,0.8,0.777778,0.883721,0.666667,0.952381,0.974359,0.555556] f_measure 0.8641346491346492 [1,0.8,0.918919,0.952381,0.85,0.974359,0.666667,0.863636,1,0.615385] f_measure 0.8448786549813508 [1,0.75,0.95,0.904762,0.756757,0.923077,0.634146,0.952381,0.894737,0.682927] f_measure 0.8561431820180495 [1,0.769231,0.97561,0.909091,0.777778,0.918919,0.606061,0.909091,1,0.695652] f_measure 0.827452416773075 [1,0.782609,0.9,0.842105,0.764706,0.974359,0.564103,0.926829,0.974359,0.545455] kappa 0.8388888888888889 kappa 0.8055555555555555 kappa 0.8277777777777777 kappa 0.9055555555555556 kappa 0.7722222222222223 kappa 0.8111111111111111 kappa 0.85 kappa 0.8277777777777777 kappa 0.8444444444444444 kappa 0.8055555555555555 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.9111106133023438 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8588227387743107 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8169924391518844 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.017000000000000005 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.03500000000000002 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 0.8677046150730361 [1,0.703704,0.947368,1,0.818182,1,0.571429,1,1,0.636364] precision 0.8290020224163446 [1,0.695652,0.944444,1,0.75,0.857143,0.588235,0.863636,1,0.590909] precision 0.8578386585894324 [1,0.642857,0.944444,0.941176,0.791667,0.947368,0.636364,0.941176,1,0.733333] precision 0.917388926862611 [1,0.818182,1,0.909091,0.857143,0.947368,0.894737,0.947368,1,0.8] precision 0.7948883242361504 [0.952381,0.75,1,0.772727,0.785714,0.782609,0.52381,0.826087,1,0.555556] precision 0.8322019970875806 [1,0.736842,0.95,0.8,0.875,0.826087,0.6,0.909091,1,0.625] precision 0.8666547049441786 [1,0.8,1,0.909091,0.85,1,0.684211,0.791667,1,0.631579] precision 0.8473783835703341 [1,0.75,0.95,0.863636,0.823529,0.947368,0.619048,0.909091,0.944444,0.666667] precision 0.866813668787353 [1,0.789474,0.952381,0.833333,0.875,1,0.769231,0.833333,1,0.615385] precision 0.8393477282950967 [1,0.692308,0.9,0.888889,0.928571,1,0.578947,0.904762,1,0.5] predictive_accuracy 0.855 predictive_accuracy 0.825 predictive_accuracy 0.845 predictive_accuracy 0.915 predictive_accuracy 0.795 predictive_accuracy 0.83 predictive_accuracy 0.865 predictive_accuracy 0.845 predictive_accuracy 0.86 predictive_accuracy 0.825 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 0.855 [1,0.95,0.9,0.85,0.9,0.95,0.8,0.85,1,0.35] recall 0.825 [1,0.8,0.85,0.85,0.75,0.9,0.5,0.95,1,0.65] recall 0.845 [1,0.9,0.85,0.8,0.95,0.9,0.7,0.8,1,0.55] recall 0.915 [1,0.9,0.95,1,0.9,0.9,0.85,0.9,0.95,0.8] recall 0.795 [1,0.75,0.9,0.85,0.55,0.9,0.55,0.95,1,0.5] recall 0.83 [1,0.7,0.95,0.8,0.7,0.95,0.75,1,0.95,0.5] recall 0.865 [1,0.8,0.85,1,0.85,0.95,0.65,0.95,1,0.6] recall 0.845 [1,0.75,0.95,0.95,0.7,0.9,0.65,1,0.85,0.7] recall 0.86 [1,0.75,1,1,0.7,0.85,0.5,1,1,0.8] recall 0.825 [1,0.9,0.9,0.8,0.65,0.95,0.55,0.95,0.95,0.6] relative_absolute_error 0.16111111111111134 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.09444444444444457 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.15000000000000024 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.19444444444444475 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 0.17029386365926405 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.130384048104053 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.16431676725154987 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.1870828693386971 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.4346134936801769 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.6236095644623241 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 172.19845999989047 usercpu_time_millis 173.47483899993676 usercpu_time_millis 166.63435299960838 usercpu_time_millis 171.60236900008385 usercpu_time_millis 171.61890199986374 usercpu_time_millis 170.0958539995554 usercpu_time_millis 169.23364500007665 usercpu_time_millis 175.3018899999006 usercpu_time_millis 168.14264300001014 usercpu_time_millis 167.79990499981068 usercpu_time_millis_testing 23.034026000004815 usercpu_time_millis_testing 23.5867070000495 usercpu_time_millis_testing 23.194653999780712 usercpu_time_millis_testing 23.362018000170792 usercpu_time_millis_testing 23.706574000243563 usercpu_time_millis_testing 23.124723999899288 usercpu_time_millis_testing 23.380389000067225 usercpu_time_millis_testing 23.743283999920095 usercpu_time_millis_testing 23.67266600003859 usercpu_time_millis_testing 23.287352999886934 usercpu_time_millis_training 149.16443399988566 usercpu_time_millis_training 149.88813199988726 usercpu_time_millis_training 143.43969899982767 usercpu_time_millis_training 148.24035099991306 usercpu_time_millis_training 147.91232799962017 usercpu_time_millis_training 146.9711299996561 usercpu_time_millis_training 145.85325600000942 usercpu_time_millis_training 151.5586059999805 usercpu_time_millis_training 144.46997699997155 usercpu_time_millis_training 144.51255199992374 wall_clock_time_millis 172.20044136047363 wall_clock_time_millis 173.48575592041016 wall_clock_time_millis 166.63742065429688 wall_clock_time_millis 171.6024875640869 wall_clock_time_millis 171.62275314331055 wall_clock_time_millis 170.09758949279785 wall_clock_time_millis 169.2349910736084 wall_clock_time_millis 175.3063201904297 wall_clock_time_millis 168.14327239990234 wall_clock_time_millis 167.81353950500488 wall_clock_time_millis_testing 23.041725158691406 wall_clock_time_millis_testing 23.593425750732422 wall_clock_time_millis_testing 23.201465606689453 wall_clock_time_millis_testing 23.36859703063965 wall_clock_time_millis_testing 23.71501922607422 wall_clock_time_millis_testing 23.131132125854492 wall_clock_time_millis_testing 23.387432098388672 wall_clock_time_millis_testing 23.75197410583496 wall_clock_time_millis_testing 23.67877960205078 wall_clock_time_millis_testing 23.294925689697266 wall_clock_time_millis_training 149.15871620178223 wall_clock_time_millis_training 149.89233016967773 wall_clock_time_millis_training 143.43595504760742 wall_clock_time_millis_training 148.23389053344727 wall_clock_time_millis_training 147.90773391723633 wall_clock_time_millis_training 146.96645736694336 wall_clock_time_millis_training 145.84755897521973 wall_clock_time_millis_training 151.55434608459473 wall_clock_time_millis_training 144.46449279785156 wall_clock_time_millis_training 144.51861381530762