10327052 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) 8182720 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 0.09788648458625807 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6697798570289542 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.0019999675017863946 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 10597 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 21575790 description https://api.openml.org/data/download/21575790/description.xml -1 21575791 predictions https://api.openml.org/data/download/21575791/predictions.arff area_under_roc_curve 0.8355555555555555 [0.9475,0.846111,0.94,0.784722,0.738611,0.900278,0.603611,0.8425,0.974444,0.777778] average_cost 0 f_measure 0.7028383102418514 [0.944591,0.577617,0.849765,0.707692,0.610592,0.838046,0.320557,0.762943,0.914692,0.501887] kappa 0.6711111111111111 kb_relative_information_score 0.690455782794054 mean_absolute_error 0.05920000000000057 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7484672232564912 [1,0.451977,0.800885,0.92,0.809917,0.862434,0.528736,0.838323,0.869369,0.40303] predictive_accuracy 0.7040000000000001 prior_entropy 3.3219280948872383 recall 0.704 [0.895,0.8,0.905,0.575,0.49,0.815,0.23,0.7,0.965,0.665] relative_absolute_error 0.3288888888888819 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.24331050121192996 root_relative_squared_error 0.811035004039754 total_cost 0 area_under_roc_curve 0.8305555555555556 [0.925,0.875,0.941667,0.822222,0.797222,0.944444,0.536111,0.722222,0.991667,0.75] area_under_roc_curve 0.8444444444444444 [1,0.869444,0.936111,0.8,0.725,0.916667,0.630556,0.791667,0.944444,0.830556] area_under_roc_curve 0.825 [0.9,0.880556,0.894444,0.744444,0.688889,0.844444,0.669444,0.819444,0.991667,0.816667] area_under_roc_curve 0.8333333333333333 [0.9,0.780556,0.958333,0.819444,0.791667,0.863889,0.633333,0.847222,0.958333,0.780556] area_under_roc_curve 0.8138888888888889 [0.975,0.733333,0.894444,0.719444,0.716667,0.888889,0.541667,0.908333,0.994444,0.766667] area_under_roc_curve 0.8444444444444443 [0.975,0.844444,0.994444,0.819444,0.666667,0.938889,0.591667,0.888889,0.997222,0.727778] area_under_roc_curve 0.8583333333333333 [0.975,0.852778,0.938889,0.85,0.769444,0.819444,0.647222,0.916667,0.994444,0.819444] area_under_roc_curve 0.8666666666666666 [0.975,0.877778,0.944444,0.847222,0.694444,0.919444,0.686111,0.894444,0.969444,0.858333] area_under_roc_curve 0.8249999999999998 [0.9,0.877778,0.986111,0.675,0.716667,0.916667,0.566667,0.847222,0.986111,0.777778] area_under_roc_curve 0.813888888888889 [0.95,0.869444,0.911111,0.75,0.819444,0.95,0.533333,0.788889,0.916667,0.65] 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 0.6832558092229776 [0.918919,0.618182,0.745098,0.764706,0.727273,0.9,0.148148,0.6,0.930233,0.48] f_measure 0.7191976129036468 [1,0.596491,0.837209,0.75,0.62069,0.85,0.363636,0.685714,0.9,0.588235] f_measure 0.6896763108653752 [0.888889,0.571429,0.842105,0.625,0.5,0.777778,0.482759,0.742857,0.930233,0.535714] f_measure 0.7011804465375895 [0.888889,0.530612,0.844444,0.742857,0.685714,0.769231,0.375,0.8,0.844444,0.530612] f_measure 0.657274093565966 [0.974359,0.428571,0.842105,0.580645,0.5625,0.8,0.16,0.790698,0.952381,0.481481] f_measure 0.7095074550562355 [0.974359,0.571429,0.952381,0.742857,0.466667,0.857143,0.296296,0.8,0.97561,0.458333] f_measure 0.746060857997595 [0.974359,0.603774,0.857143,0.823529,0.666667,0.742857,0.444444,0.85,0.952381,0.545455] f_measure 0.759035080580803 [0.974359,0.62963,0.9,0.8,0.533333,0.871795,0.484848,0.842105,0.926829,0.627451] f_measure 0.6724750712250713 [0.888889,0.62963,0.888889,0.518519,0.5625,0.85,0.230769,0.8,0.888889,0.466667] f_measure 0.6691228070175438 [0.947368,0.596491,0.809524,0.666667,0.742857,0.947368,0.142857,0.666667,0.85,0.321429] kappa 0.6611111111111111 kappa 0.6888888888888889 kappa 0.65 kappa 0.6666666666666666 kappa 0.6277777777777779 kappa 0.6888888888888889 kappa 0.7166666666666667 kappa 0.7333333333333334 kappa 0.65 kappa 0.6277777777777779 kb_relative_information_score 0.6810439653789969 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.6705863904733903 kb_relative_information_score 0.6862727528318004 kb_relative_information_score 0.6496712406621766 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.7333318399070311 kb_relative_information_score 0.7490182022654411 kb_relative_information_score 0.6705863904733903 kb_relative_information_score 0.6496712406621766 mean_absolute_error 0.06099999999999994 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.05999999999999995 mean_absolute_error 0.06699999999999992 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.06699999999999992 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 0.7305545366274678 [1,0.485714,0.612903,0.928571,0.923077,0.9,0.285714,0.9,0.869565,0.4] precision 0.7737477584392031 [1,0.459459,0.782609,1,1,0.85,0.461538,0.8,0.9,0.483871] precision 0.7613169868554095 [1,0.418605,0.888889,0.833333,0.666667,0.875,0.777778,0.866667,0.869565,0.416667] precision 0.7306025408348457 [1,0.448276,0.76,0.866667,0.8,0.789474,0.5,0.933333,0.76,0.448276] precision 0.7020978325454028 [1,0.333333,0.888889,0.818182,0.75,0.8,0.4,0.73913,0.909091,0.382353] precision 0.7455050505050506 [1,0.444444,0.909091,0.866667,0.7,0.818182,0.571429,0.8,0.952381,0.392857] precision 0.8060656010656011 [1,0.484848,0.818182,1,0.846154,0.866667,0.857143,0.85,0.909091,0.428571] precision 0.795323461673207 [1,0.5,0.9,0.933333,0.8,0.894737,0.615385,0.888889,0.904762,0.516129] precision 0.7483333333333334 [1,0.5,0.8,1,0.75,0.85,0.5,0.933333,0.8,0.35] precision 0.7198853398853399 [1,0.459459,0.772727,1,0.866667,1,0.25,0.75,0.85,0.25] predictive_accuracy 0.695 predictive_accuracy 0.72 predictive_accuracy 0.685 predictive_accuracy 0.7 predictive_accuracy 0.665 predictive_accuracy 0.72 predictive_accuracy 0.745 predictive_accuracy 0.76 predictive_accuracy 0.685 predictive_accuracy 0.665 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 0.695 [0.85,0.85,0.95,0.65,0.6,0.9,0.1,0.45,1,0.6] recall 0.72 [1,0.85,0.9,0.6,0.45,0.85,0.3,0.6,0.9,0.75] recall 0.685 [0.8,0.9,0.8,0.5,0.4,0.7,0.35,0.65,1,0.75] recall 0.7 [0.8,0.65,0.95,0.65,0.6,0.75,0.3,0.7,0.95,0.65] recall 0.665 [0.95,0.6,0.8,0.45,0.45,0.8,0.1,0.85,1,0.65] recall 0.72 [0.95,0.8,1,0.65,0.35,0.9,0.2,0.8,1,0.55] recall 0.745 [0.95,0.8,0.9,0.7,0.55,0.65,0.3,0.85,1,0.75] recall 0.76 [0.95,0.85,0.9,0.7,0.4,0.85,0.4,0.8,0.95,0.8] recall 0.685 [0.8,0.85,1,0.35,0.45,0.85,0.15,0.7,1,0.7] recall 0.665 [0.9,0.85,0.85,0.5,0.65,0.9,0.1,0.6,0.85,0.45] relative_absolute_error 0.3388888888888889 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.35 relative_absolute_error 0.3333333333333334 relative_absolute_error 0.37222222222222223 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.2666666666666669 relative_absolute_error 0.35 relative_absolute_error 0.37222222222222223 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 0.24698178070456928 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.24494897427831772 root_mean_squared_error 0.25884358211089553 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.21908902300206642 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.25884358211089553 root_relative_squared_error 0.8232726023485647 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8164965809277261 root_relative_squared_error 0.8628119403696521 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8628119403696521 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 786.1063439922873 usercpu_time_millis 801.4354319966515 usercpu_time_millis 800.7149839977501 usercpu_time_millis 805.2672879930469 usercpu_time_millis 804.5942679964355 usercpu_time_millis 800.699142004305 usercpu_time_millis 813.8834580095136 usercpu_time_millis 803.416135997395 usercpu_time_millis 808.9935959942522 usercpu_time_millis 804.4794060042477 usercpu_time_millis_testing 52.01293099526083 usercpu_time_millis_testing 53.72960599925136 usercpu_time_millis_testing 53.47596800129395 usercpu_time_millis_testing 55.7760999945458 usercpu_time_millis_testing 53.597322999848984 usercpu_time_millis_testing 53.71637899952475 usercpu_time_millis_testing 53.880582003330346 usercpu_time_millis_testing 53.08428299758816 usercpu_time_millis_testing 55.15784899762366 usercpu_time_millis_testing 50.65708800248103 usercpu_time_millis_training 734.0934129970265 usercpu_time_millis_training 747.7058259974001 usercpu_time_millis_training 747.2390159964561 usercpu_time_millis_training 749.4911879985011 usercpu_time_millis_training 750.9969449965865 usercpu_time_millis_training 746.9827630047803 usercpu_time_millis_training 760.0028760061832 usercpu_time_millis_training 750.3318529998069 usercpu_time_millis_training 753.8357469966286 usercpu_time_millis_training 753.8223180017667 wall_clock_time_millis 786.3528728485107 wall_clock_time_millis 1021.6586589813232 wall_clock_time_millis 816.9054985046387 wall_clock_time_millis 821.4924335479736 wall_clock_time_millis 820.9130764007568 wall_clock_time_millis 816.910982131958 wall_clock_time_millis 862.1847629547119 wall_clock_time_millis 867.7024841308594 wall_clock_time_millis 821.129322052002 wall_clock_time_millis 876.5580654144287 wall_clock_time_millis_testing 52.02817916870117 wall_clock_time_millis_testing 53.81417274475098 wall_clock_time_millis_testing 53.492069244384766 wall_clock_time_millis_testing 55.791378021240234 wall_clock_time_millis_testing 53.612709045410156 wall_clock_time_millis_testing 53.73215675354004 wall_clock_time_millis_testing 53.896427154541016 wall_clock_time_millis_testing 53.1005859375 wall_clock_time_millis_testing 55.17387390136719 wall_clock_time_millis_testing 50.67276954650879 wall_clock_time_millis_training 734.3246936798096 wall_clock_time_millis_training 967.8444862365723 wall_clock_time_millis_training 763.4134292602539 wall_clock_time_millis_training 765.7010555267334 wall_clock_time_millis_training 767.3003673553467 wall_clock_time_millis_training 763.178825378418 wall_clock_time_millis_training 808.2883358001709 wall_clock_time_millis_training 814.6018981933594 wall_clock_time_millis_training 765.9554481506348 wall_clock_time_millis_training 825.8852958679199