8905792 1935 Hilde Weerts 14 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6843341 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 C 0.45153462497859714 7650 cache_size 200 7650 class_weight null 7650 coef0 0.19264542635407067 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.0003376035451882729 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 5.896328964341819e-05 7650 verbose false 7650 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 memory null 8317 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18727328 description https://api.openml.org/data/download/18727328/description.xml -1 18727329 predictions https://api.openml.org/data/download/18727329/predictions.arff area_under_roc_curve 0.8480555555555555 [0.96,0.840833,0.931944,0.845556,0.766389,0.92,0.649444,0.842778,0.981111,0.7425] average_cost 0 f_measure 0.7269580311256209 [0.958333,0.634249,0.869136,0.786517,0.632479,0.843137,0.397661,0.75,0.915888,0.48218] kappa 0.6961111111111111 kb_relative_information_score 1427.9706526632829 mean_absolute_error 0.054700000000000505 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7422266627677367 [1,0.549451,0.858537,0.897436,0.735099,0.826923,0.478873,0.801136,0.859649,0.415162] predictive_accuracy 0.7265 prior_entropy 3.321928094887362 recall 0.7265 [0.92,0.75,0.88,0.7,0.555,0.86,0.34,0.705,0.98,0.575] relative_absolute_error 0.3038888888888823 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.23388031127053108 root_relative_squared_error 0.779601037568425 total_cost 0 area_under_roc_curve 0.825 [0.95,0.863889,0.9,0.872222,0.794444,0.969444,0.538889,0.741667,0.991667,0.627778] area_under_roc_curve 0.8527777777777777 [1,0.886111,0.936111,0.875,0.7,0.913889,0.672222,0.791667,0.969444,0.783333] area_under_roc_curve 0.8277777777777778 [0.9,0.819444,0.894444,0.794444,0.786111,0.863889,0.661111,0.794444,0.991667,0.772222] area_under_roc_curve 0.8583333333333333 [0.925,0.75,0.969444,0.894444,0.833333,0.938889,0.702778,0.841667,0.958333,0.769444] area_under_roc_curve 0.838888888888889 [0.975,0.741667,0.894444,0.816667,0.75,0.933333,0.658333,0.908333,0.994444,0.716667] area_under_roc_curve 0.8583333333333333 [0.975,0.869444,0.994444,0.841667,0.741667,0.933333,0.608333,0.888889,0.991667,0.738889] area_under_roc_curve 0.8722222222222221 [0.975,0.85,0.922222,0.916667,0.763889,0.841667,0.736111,0.936111,0.994444,0.786111] area_under_roc_curve 0.8722222222222221 [0.975,0.866667,0.919444,0.869444,0.744444,0.916667,0.730556,0.891667,0.994444,0.813889] area_under_roc_curve 0.8416666666666667 [0.925,0.863889,0.972222,0.775,0.733333,0.913889,0.588889,0.844444,0.988889,0.811111] area_under_roc_curve 0.8333333333333333 [1,0.897222,0.916667,0.8,0.816667,0.975,0.597222,0.788889,0.936111,0.605556] 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 0.6826746683940854 [0.947368,0.653061,0.73913,0.833333,0.705882,0.926829,0.166667,0.606061,0.930233,0.318182] f_measure 0.7336978542499186 [1,0.666667,0.837209,0.857143,0.571429,0.829268,0.421053,0.685714,0.926829,0.541667] f_measure 0.6973825379402635 [0.888889,0.545455,0.842105,0.705882,0.648649,0.769231,0.4375,0.705882,0.930233,0.5] f_measure 0.7440823530083762 [0.918919,0.55,0.926829,0.842105,0.7,0.857143,0.486486,0.756757,0.844444,0.55814] f_measure 0.7062007712130111 [0.974359,0.511628,0.842105,0.722222,0.55,0.818182,0.424242,0.790698,0.952381,0.47619] f_measure 0.7341403374869719 [0.974359,0.680851,0.952381,0.756757,0.606061,0.818182,0.322581,0.8,0.930233,0.5] f_measure 0.7700452499107411 [0.974359,0.681818,0.894737,0.85,0.628571,0.756757,0.571429,0.837209,0.952381,0.553191] f_measure 0.77078103179167 [0.974359,0.666667,0.871795,0.810811,0.625,0.85,0.540541,0.820513,0.952381,0.595745] f_measure 0.7106305762895353 [0.918919,0.653061,0.95,0.709677,0.555556,0.829268,0.285714,0.777778,0.909091,0.517241] f_measure 0.7078806475837648 [1,0.723404,0.85,0.75,0.722222,0.974359,0.285714,0.666667,0.837209,0.269231] kappa 0.65 kappa 0.7055555555555556 kappa 0.6555555555555556 kappa 0.7166666666666667 kappa 0.6777777777777777 kappa 0.7166666666666667 kappa 0.7444444444444445 kappa 0.7444444444444445 kappa 0.6833333333333333 kappa 0.6666666666666666 kb_relative_information_score 134.11727809467777 kb_relative_information_score 144.57485300028452 kb_relative_information_score 135.16303558523842 kb_relative_information_score 146.66636798140587 kb_relative_information_score 139.34606554748115 kb_relative_information_score 146.66636798140587 kb_relative_information_score 151.89515543420927 kb_relative_information_score 151.89515543420927 kb_relative_information_score 140.39182303804182 kb_relative_information_score 137.2545505663598 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.05299999999999997 mean_absolute_error 0.06199999999999994 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.046 mean_absolute_error 0.046 mean_absolute_error 0.05699999999999996 mean_absolute_error 0.05999999999999995 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 0.7022937706970691 [1,0.551724,0.653846,0.9375,0.857143,0.904762,0.1875,0.769231,0.869565,0.291667] precision 0.7754011665442239 [1,0.548387,0.782609,1,1,0.809524,0.444444,0.8,0.904762,0.464286] precision 0.7386250619622372 [1,0.428571,0.888889,0.857143,0.705882,0.789474,0.583333,0.857143,0.869565,0.40625] precision 0.7496512918737983 [1,0.55,0.904762,0.888889,0.7,0.818182,0.529412,0.823529,0.76,0.521739] precision 0.7120878095334617 [1,0.478261,0.888889,0.8125,0.55,0.75,0.538462,0.73913,0.909091,0.454545] precision 0.7426887687949069 [1,0.592593,0.909091,0.823529,0.769231,0.75,0.454545,0.8,0.869565,0.458333] precision 0.7816154942433714 [1,0.625,0.944444,0.85,0.733333,0.823529,0.666667,0.782609,0.909091,0.481481] precision 0.7889801672928608 [1,0.571429,0.894737,0.882353,0.833333,0.85,0.588235,0.842105,0.909091,0.518519] precision 0.7539318122893441 [1,0.551724,0.95,1,0.625,0.809524,0.5,0.875,0.833333,0.394737] precision 0.7376821658615137 [1,0.62963,0.85,1,0.8125,1,0.333333,0.75,0.782609,0.21875] predictive_accuracy 0.685 predictive_accuracy 0.735 predictive_accuracy 0.69 predictive_accuracy 0.745 predictive_accuracy 0.71 predictive_accuracy 0.745 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.715 predictive_accuracy 0.7 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.685 [0.9,0.8,0.85,0.75,0.6,0.95,0.15,0.5,1,0.35] recall 0.735 [1,0.85,0.9,0.75,0.4,0.85,0.4,0.6,0.95,0.65] recall 0.69 [0.8,0.75,0.8,0.6,0.6,0.75,0.35,0.6,1,0.65] recall 0.745 [0.85,0.55,0.95,0.8,0.7,0.9,0.45,0.7,0.95,0.6] recall 0.71 [0.95,0.55,0.8,0.65,0.55,0.9,0.35,0.85,1,0.5] recall 0.745 [0.95,0.8,1,0.7,0.5,0.9,0.25,0.8,1,0.55] recall 0.77 [0.95,0.75,0.85,0.85,0.55,0.7,0.5,0.9,1,0.65] recall 0.77 [0.95,0.8,0.85,0.75,0.5,0.85,0.5,0.8,1,0.7] recall 0.715 [0.85,0.8,0.95,0.55,0.5,0.85,0.2,0.7,1,0.75] recall 0.7 [1,0.85,0.85,0.6,0.65,0.95,0.25,0.6,0.9,0.35] relative_absolute_error 0.35 relative_absolute_error 0.2944444444444446 relative_absolute_error 0.3444444444444445 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.31666666666666676 relative_absolute_error 0.3333333333333334 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 0.25099800796022254 root_mean_squared_error 0.2302172886644267 root_mean_squared_error 0.2489979919597745 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.2408318915758458 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.23874672772626634 root_mean_squared_error 0.24494897427831772 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.7673909622147562 root_relative_squared_error 0.8299933065325821 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.7958224257542216 root_relative_squared_error 0.8164965809277261 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 3485.1191370000834 usercpu_time_millis 3478.9438789998712 usercpu_time_millis 3401.5005699998255 usercpu_time_millis 3366.1885249998704 usercpu_time_millis 3360.5251139999837 usercpu_time_millis 3331.418130000202 usercpu_time_millis 3363.1647919996794 usercpu_time_millis 2792.099791000055 usercpu_time_millis 2715.607256999874 usercpu_time_millis 2626.284177000116 usercpu_time_millis_testing 58.5942420000265 usercpu_time_millis_testing 52.49413399997138 usercpu_time_millis_testing 52.517447999889555 usercpu_time_millis_testing 54.1534059998412 usercpu_time_millis_testing 52.69146099999489 usercpu_time_millis_testing 52.63965000017379 usercpu_time_millis_testing 44.406271999832825 usercpu_time_millis_testing 43.867029000011826 usercpu_time_millis_testing 44.84226499994293 usercpu_time_millis_testing 44.343533000073876 usercpu_time_millis_training 3426.524895000057 usercpu_time_millis_training 3426.4497449999 usercpu_time_millis_training 3348.983121999936 usercpu_time_millis_training 3312.035119000029 usercpu_time_millis_training 3307.8336529999888 usercpu_time_millis_training 3278.778480000028 usercpu_time_millis_training 3318.7585199998466 usercpu_time_millis_training 2748.2327620000433 usercpu_time_millis_training 2670.764991999931 usercpu_time_millis_training 2581.940644000042