10328573 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) 8184218 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 171.03076248915255 13389 cache_size 200 13389 class_weight null 13389 coef0 0.40705447648192394 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.000843106127549414 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 52990 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 21578832 description https://api.openml.org/data/download/21578832/description.xml -1 21578833 predictions https://api.openml.org/data/download/21578833/predictions.arff area_under_roc_curve 0.9125 [1,0.884444,0.960556,0.943056,0.893056,0.953611,0.761944,0.963889,0.986389,0.778056] average_cost 0 f_measure 0.8423672106324616 [1,0.783251,0.943878,0.906329,0.81519,0.921914,0.583979,0.9,0.977444,0.591687] kappa 0.8250000000000001 kb_relative_information_score 0.8352931952366995 mean_absolute_error 0.03150000000000018 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8430125930468578 [1,0.771845,0.963542,0.917949,0.825641,0.928934,0.604278,0.859091,0.979899,0.578947] predictive_accuracy 0.8425 prior_entropy 3.3219280948872383 recall 0.8425 [1,0.795,0.925,0.895,0.805,0.915,0.565,0.945,0.975,0.605] relative_absolute_error 0.17499999999999563 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.177482393492989 root_relative_squared_error 0.5916079783099542 total_cost 0 area_under_roc_curve 0.913888888888889 [1,0.930556,0.972222,0.925,0.963889,0.975,0.766667,0.947222,1,0.658333] area_under_roc_curve 0.9138888888888889 [1,0.908333,0.925,0.925,0.863889,0.941667,0.763889,0.961111,0.975,0.875] area_under_roc_curve 0.9111111111111111 [1,0.933333,0.975,0.922222,0.930556,0.944444,0.8,0.922222,0.997222,0.686111] area_under_roc_curve 0.95 [1,0.916667,0.975,0.991667,0.994444,0.925,0.822222,0.947222,0.975,0.952778] area_under_roc_curve 0.886111111111111 [1,0.830556,0.925,0.913889,0.863889,0.919444,0.722222,0.961111,1,0.725] area_under_roc_curve 0.9138888888888889 [1,0.866667,0.947222,0.916667,0.869444,0.991667,0.8,0.994444,1,0.752778] area_under_roc_curve 0.911111111111111 [1,0.869444,0.95,0.997222,0.869444,0.944444,0.755556,0.983333,0.997222,0.744444] area_under_roc_curve 0.9361111111111111 [1,0.888889,0.997222,0.944444,0.872222,0.972222,0.861111,0.991667,0.972222,0.861111] area_under_roc_curve 0.9083333333333333 [1,0.841667,0.997222,0.994444,0.863889,0.95,0.636111,0.991667,1,0.808333] area_under_roc_curve 0.8805555555555555 [1,0.858333,0.941667,0.9,0.838889,0.972222,0.691667,0.938889,0.947222,0.716667] 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 0.8419772716284345 [1,0.8,0.95,0.918919,0.883721,0.974359,0.545455,0.923077,1,0.424242] f_measure 0.8453492939652894 [1,0.790698,0.918919,0.918919,0.769231,0.878049,0.628571,0.863636,0.974359,0.711111] f_measure 0.8361520336744982 [1,0.818182,0.974359,0.894737,0.8,0.9,0.619048,0.894737,0.97561,0.484848] f_measure 0.9096543821885092 [1,0.85,0.974359,0.930233,0.952381,0.918919,0.764706,0.923077,0.974359,0.808511] f_measure 0.7948596558352656 [1,0.682927,0.918919,0.829268,0.769231,0.871795,0.5,0.863636,1,0.512821] f_measure 0.8439125111768929 [1,0.789474,0.923077,0.85,0.810811,0.930233,0.619048,0.952381,1,0.564103] f_measure 0.8392531664491255 [1,0.810811,0.947368,0.97561,0.810811,0.9,0.578947,0.869565,0.97561,0.52381] f_measure 0.883917564757043 [1,0.8,0.97561,0.9,0.833333,0.95,0.75,0.930233,0.95,0.75] f_measure 0.8290104559280325 [1,0.756757,0.97561,0.952381,0.769231,0.947368,0.387097,0.930233,1,0.571429] f_measure 0.7880921738367179 [1,0.731707,0.878049,0.888889,0.736842,0.95,0.439024,0.857143,0.923077,0.47619] kappa 0.8277777777777777 kappa 0.8277777777777777 kappa 0.8222222222222222 kappa 0.9 kappa 0.7722222222222223 kappa 0.8277777777777777 kappa 0.8222222222222222 kappa 0.8722222222222222 kappa 0.8166666666666667 kappa 0.7611111111111112 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.9058818258495406 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8797378885855239 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.7751621395294579 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.018000000000000006 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.023000000000000007 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.04300000000000001 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 0.848191691603591 [1,0.72,0.95,1,0.826087,1,0.5,0.947368,1,0.538462] precision 0.8550746976135993 [1,0.73913,1,1,0.789474,0.857143,0.733333,0.791667,1,0.64] precision 0.8417563547563547 [1,0.75,1,0.944444,0.72,0.9,0.590909,0.944444,0.952381,0.615385] precision 0.9208299679809978 [1,0.85,1,0.869565,0.909091,1,0.928571,0.947368,1,0.703704] precision 0.7978383458646615 [1,0.666667,1,0.809524,0.789474,0.894737,0.5,0.791667,1,0.526316] precision 0.8461567281374792 [1,0.833333,0.947368,0.85,0.882353,0.869565,0.590909,0.909091,1,0.578947] precision 0.8449809667456727 [1,0.882353,1,0.952381,0.882353,0.9,0.611111,0.769231,0.952381,0.5] precision 0.8859446169772256 [1,0.8,0.952381,0.9,0.9375,0.95,0.75,0.869565,0.95,0.75] precision 0.8372253340982598 [1,0.823529,0.952381,0.909091,0.789474,1,0.545455,0.869565,1,0.482759] precision 0.7947873471557682 [1,0.714286,0.857143,1,0.777778,0.95,0.428571,0.818182,0.947368,0.454545] predictive_accuracy 0.845 predictive_accuracy 0.845 predictive_accuracy 0.84 predictive_accuracy 0.91 predictive_accuracy 0.795 predictive_accuracy 0.845 predictive_accuracy 0.84 predictive_accuracy 0.885 predictive_accuracy 0.835 predictive_accuracy 0.785 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 0.845 [1,0.9,0.95,0.85,0.95,0.95,0.6,0.9,1,0.35] recall 0.845 [1,0.85,0.85,0.85,0.75,0.9,0.55,0.95,0.95,0.8] recall 0.84 [1,0.9,0.95,0.85,0.9,0.9,0.65,0.85,1,0.4] recall 0.91 [1,0.85,0.95,1,1,0.85,0.65,0.9,0.95,0.95] recall 0.795 [1,0.7,0.85,0.85,0.75,0.85,0.5,0.95,1,0.5] recall 0.845 [1,0.75,0.9,0.85,0.75,1,0.65,1,1,0.55] recall 0.84 [1,0.75,0.9,1,0.75,0.9,0.55,1,1,0.55] recall 0.885 [1,0.8,1,0.9,0.75,0.95,0.75,1,0.95,0.75] recall 0.835 [1,0.7,1,1,0.75,0.9,0.3,1,1,0.7] recall 0.785 [1,0.75,0.9,0.8,0.7,0.95,0.45,0.9,0.9,0.5] relative_absolute_error 0.1722222222222225 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.10000000000000014 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.12777777777777796 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.2388888888888892 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 0.17606816861659014 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.1341640786499874 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.15165750888103102 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.20736441353327723 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.44721359549995826 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.505525029603437 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.6912147117775912 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 270.4315530063468 usercpu_time_millis 270.754056997248 usercpu_time_millis 267.8170740036876 usercpu_time_millis 268.03055901109474 usercpu_time_millis 270.0204689972452 usercpu_time_millis 268.2471000007354 usercpu_time_millis 271.1312440078473 usercpu_time_millis 275.0616170014837 usercpu_time_millis 295.36201099836035 usercpu_time_millis 271.49937100330135 usercpu_time_millis_testing 28.419343005225528 usercpu_time_millis_testing 28.841585000918712 usercpu_time_millis_testing 28.165941002953332 usercpu_time_millis_testing 28.39233800477814 usercpu_time_millis_testing 28.256700999918394 usercpu_time_millis_testing 28.327583000645973 usercpu_time_millis_testing 28.190702003485058 usercpu_time_millis_testing 31.657491002988536 usercpu_time_millis_testing 31.16152599977795 usercpu_time_millis_testing 27.864192001288757 usercpu_time_millis_training 242.01221000112128 usercpu_time_millis_training 241.91247199632926 usercpu_time_millis_training 239.65113300073426 usercpu_time_millis_training 239.6382210063166 usercpu_time_millis_training 241.7637679973268 usercpu_time_millis_training 239.9195170000894 usercpu_time_millis_training 242.94054200436221 usercpu_time_millis_training 243.40412599849515 usercpu_time_millis_training 264.2004849985824 usercpu_time_millis_training 243.6351790020126 wall_clock_time_millis 270.46918869018555 wall_clock_time_millis 270.79081535339355 wall_clock_time_millis 267.84563064575195 wall_clock_time_millis 268.16630363464355 wall_clock_time_millis 282.0556163787842 wall_clock_time_millis 268.2838439941406 wall_clock_time_millis 271.1946964263916 wall_clock_time_millis 355.1363945007324 wall_clock_time_millis 295.39990425109863 wall_clock_time_millis 303.5237789154053 wall_clock_time_millis_testing 28.432130813598633 wall_clock_time_millis_testing 28.856754302978516 wall_clock_time_millis_testing 28.17082405090332 wall_clock_time_millis_testing 28.405427932739258 wall_clock_time_millis_testing 28.27143669128418 wall_clock_time_millis_testing 28.341293334960938 wall_clock_time_millis_testing 28.204917907714844 wall_clock_time_millis_testing 47.6682186126709 wall_clock_time_millis_testing 31.175851821899414 wall_clock_time_millis_testing 27.877330780029297 wall_clock_time_millis_training 242.0370578765869 wall_clock_time_millis_training 241.93406105041504 wall_clock_time_millis_training 239.67480659484863 wall_clock_time_millis_training 239.7608757019043 wall_clock_time_millis_training 253.7841796875 wall_clock_time_millis_training 239.9425506591797 wall_clock_time_millis_training 242.98977851867676 wall_clock_time_millis_training 307.4681758880615 wall_clock_time_millis_training 264.2240524291992 wall_clock_time_millis_training 275.646448135376