10328521 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) 8184168 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 2891.405888256245 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.15124058184998046 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.6680106363275204 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 37217 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 21578728 description https://api.openml.org/data/download/21578728/description.xml -1 21578729 predictions https://api.openml.org/data/download/21578729/predictions.arff area_under_roc_curve 0.8975 [0.99,0.913056,0.971944,0.926667,0.905833,0.931944,0.701111,0.948889,0.973889,0.711667] average_cost 0 f_measure 0.818595540975452 [0.989899,0.732919,0.966752,0.895833,0.865435,0.922667,0.471503,0.90099,0.964467,0.47549] kappa 0.795 kb_relative_information_score 0.8070577429915623 mean_absolute_error 0.03690000000000025 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8281657418228286 [1,0.625442,0.989529,0.934783,0.916201,0.988571,0.489247,0.892157,0.979381,0.466346] predictive_accuracy 0.8155 prior_entropy 3.3219280948872383 recall 0.8155 [0.98,0.885,0.945,0.86,0.82,0.865,0.455,0.91,0.95,0.485] relative_absolute_error 0.2049999999999951 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1920937271229861 root_relative_squared_error 0.6403124237432771 total_cost 0 area_under_roc_curve 0.9000000000000001 [0.975,0.966667,0.975,0.925,0.944444,0.975,0.652778,0.822222,0.997222,0.766667] area_under_roc_curve 0.8861111111111112 [1,0.875,0.975,0.866667,0.872222,0.947222,0.675,0.988889,0.947222,0.713889] area_under_roc_curve 0.911111111111111 [0.975,0.919444,1,0.925,0.941667,0.95,0.747222,0.947222,1,0.705556] area_under_roc_curve 0.9305555555555556 [0.975,0.927778,0.975,0.969444,0.997222,0.95,0.830556,0.947222,0.975,0.758333] area_under_roc_curve 0.8777777777777778 [1,0.844444,0.95,0.916667,0.875,0.9,0.644444,0.963889,1,0.683333] area_under_roc_curve 0.9111111111111111 [1,0.9,0.997222,0.872222,0.919444,0.922222,0.775,0.994444,1,0.730556] area_under_roc_curve 0.886111111111111 [0.975,0.908333,0.95,0.947222,0.894444,0.825,0.725,0.969444,0.997222,0.669444] area_under_roc_curve 0.9027777777777777 [1,0.927778,0.972222,1,0.869444,0.975,0.719444,0.941667,0.925,0.697222] area_under_roc_curve 0.9055555555555556 [1,0.925,1,0.972222,0.9,0.9,0.602778,0.997222,1,0.758333] area_under_roc_curve 0.8638888888888888 [1,0.936111,0.925,0.872222,0.844444,0.975,0.638889,0.916667,0.897222,0.633333] 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 0.8196996795131658 [0.974359,0.769231,0.974359,0.918919,0.9,0.974359,0.4,0.764706,0.97561,0.545455] f_measure 0.79610705697609 [1,0.711111,0.974359,0.789474,0.833333,0.923077,0.432432,0.909091,0.923077,0.465116] f_measure 0.8413051261299933 [0.974359,0.734694,1,0.918919,0.878049,0.947368,0.536585,0.923077,1,0.5] f_measure 0.8756091411111783 [0.974359,0.782609,0.974359,0.926829,0.97561,0.947368,0.682927,0.923077,0.974359,0.594595] f_measure 0.7856806972082901 [1,0.652174,0.947368,0.85,0.857143,0.888889,0.368421,0.883721,1,0.409091] f_measure 0.8392892584693668 [1,0.73913,0.97561,0.833333,0.871795,0.894737,0.585366,0.952381,1,0.540541] f_measure 0.7979549600011246 [0.974359,0.679245,0.947368,0.923077,0.842105,0.787879,0.512821,0.926829,0.97561,0.410256] f_measure 0.8264089519815925 [1,0.782609,0.95,1,0.810811,0.974359,0.487805,0.878049,0.918919,0.461538] f_measure 0.8283013581586492 [1,0.765957,1,0.95,0.888889,0.888889,0.30303,0.97561,1,0.510638] f_measure 0.7619568334662674 [1,0.716981,0.918919,0.833333,0.777778,0.974359,0.35,0.85,0.864865,0.333333] kappa 0.7999999999999999 kappa 0.7722222222222223 kappa 0.8222222222222222 kappa 0.8611111111111112 kappa 0.7555555555555555 kappa 0.8222222222222222 kappa 0.7722222222222223 kappa 0.8055555555555555 kappa 0.8111111111111111 kappa 0.7277777777777777 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8692803136799173 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.7437894148126378 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.02500000000000001 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.04899999999999999 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 0.8372619047619047 [1,0.625,1,1,0.9,1,0.466667,0.928571,0.952381,0.5] precision 0.8044274352761698 [1,0.64,1,0.833333,0.9375,0.947368,0.470588,0.833333,0.947368,0.434783] precision 0.8511510457177427 [1,0.62069,1,1,0.857143,1,0.52381,0.947368,1,0.5625] precision 0.8810544460699259 [1,0.692308,1,0.904762,0.952381,1,0.666667,0.947368,1,0.647059] precision 0.8016898922333704 [1,0.576923,1,0.85,1,1,0.388889,0.826087,1,0.375] precision 0.8451663167413941 [1,0.653846,0.952381,0.9375,0.894737,0.944444,0.571429,0.909091,1,0.588235] precision 0.8186223133591554 [1,0.545455,1,0.947368,0.888889,1,0.526316,0.904762,0.952381,0.421053] precision 0.8331678177343812 [1,0.692308,0.95,1,0.882353,1,0.47619,0.857143,1,0.473684] precision 0.8398107448107447 [1,0.666667,1,0.95,1,1,0.384615,0.952381,1,0.444444] precision 0.7847615864527628 [1,0.575758,1,0.9375,0.875,1,0.35,0.85,0.941176,0.318182] predictive_accuracy 0.82 predictive_accuracy 0.795 predictive_accuracy 0.84 predictive_accuracy 0.875 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.795 predictive_accuracy 0.825 predictive_accuracy 0.83 predictive_accuracy 0.755 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 0.82 [0.95,1,0.95,0.85,0.9,0.95,0.35,0.65,1,0.6] recall 0.795 [1,0.8,0.95,0.75,0.75,0.9,0.4,1,0.9,0.5] recall 0.84 [0.95,0.9,1,0.85,0.9,0.9,0.55,0.9,1,0.45] recall 0.875 [0.95,0.9,0.95,0.95,1,0.9,0.7,0.9,0.95,0.55] recall 0.78 [1,0.75,0.9,0.85,0.75,0.8,0.35,0.95,1,0.45] recall 0.84 [1,0.85,1,0.75,0.85,0.85,0.6,1,1,0.5] recall 0.795 [0.95,0.9,0.9,0.9,0.8,0.65,0.5,0.95,1,0.4] recall 0.825 [1,0.9,0.95,1,0.75,0.95,0.5,0.9,0.85,0.45] recall 0.83 [1,0.9,1,0.95,0.8,0.8,0.25,1,1,0.6] recall 0.755 [1,0.95,0.85,0.75,0.7,0.95,0.35,0.85,0.8,0.35] relative_absolute_error 0.20000000000000032 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.1388888888888891 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.2722222222222225 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 0.1897366596101028 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.22135943621178653 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5270462766947304 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.7378647873726222 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 666.520432998368 usercpu_time_millis 665.8373460013536 usercpu_time_millis 659.3287700015935 usercpu_time_millis 674.0151189951575 usercpu_time_millis 647.3489030031487 usercpu_time_millis 664.7961279959418 usercpu_time_millis 656.2592999980552 usercpu_time_millis 660.9328089980409 usercpu_time_millis 666.0939619905548 usercpu_time_millis 651.9841330082272 usercpu_time_millis_testing 39.36367799906293 usercpu_time_millis_testing 39.529153997136746 usercpu_time_millis_testing 38.878021005075425 usercpu_time_millis_testing 39.02153799572261 usercpu_time_millis_testing 39.11377699841978 usercpu_time_millis_testing 39.337996997346636 usercpu_time_millis_testing 39.13213199848542 usercpu_time_millis_testing 38.843895999889355 usercpu_time_millis_testing 39.19930199481314 usercpu_time_millis_testing 38.873579003848135 usercpu_time_millis_training 627.1567549993051 usercpu_time_millis_training 626.3081920042168 usercpu_time_millis_training 620.4507489965181 usercpu_time_millis_training 634.9935809994349 usercpu_time_millis_training 608.235126004729 usercpu_time_millis_training 625.4581309985952 usercpu_time_millis_training 617.1271679995698 usercpu_time_millis_training 622.0889129981515 usercpu_time_millis_training 626.8946599957417 usercpu_time_millis_training 613.1105540043791 wall_clock_time_millis 666.5980815887451 wall_clock_time_millis 665.902853012085 wall_clock_time_millis 667.4149036407471 wall_clock_time_millis 854.4206619262695 wall_clock_time_millis 679.4497966766357 wall_clock_time_millis 664.8633480072021 wall_clock_time_millis 663.4995937347412 wall_clock_time_millis 669.0471172332764 wall_clock_time_millis 682.2099685668945 wall_clock_time_millis 684.0746402740479 wall_clock_time_millis_testing 39.37697410583496 wall_clock_time_millis_testing 39.54577445983887 wall_clock_time_millis_testing 38.89346122741699 wall_clock_time_millis_testing 63.04931640625 wall_clock_time_millis_testing 39.130210876464844 wall_clock_time_millis_testing 39.35432434082031 wall_clock_time_millis_testing 39.14928436279297 wall_clock_time_millis_testing 38.85912895202637 wall_clock_time_millis_testing 39.214372634887695 wall_clock_time_millis_testing 38.887977600097656 wall_clock_time_millis_training 627.2211074829102 wall_clock_time_millis_training 626.3570785522461 wall_clock_time_millis_training 628.5214424133301 wall_clock_time_millis_training 791.3713455200195 wall_clock_time_millis_training 640.3195858001709 wall_clock_time_millis_training 625.5090236663818 wall_clock_time_millis_training 624.3503093719482 wall_clock_time_millis_training 630.18798828125 wall_clock_time_millis_training 642.9955959320068 wall_clock_time_millis_training 645.1866626739502