8905975 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) 6843503 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 252.64773160916945 7650 cache_size 200 7650 class_weight null 7650 coef0 0.6490491708295152 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.10033418065157697 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.003946359843860781 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 18727688 description https://api.openml.org/data/download/18727688/description.xml -1 18727689 predictions https://api.openml.org/data/download/18727689/predictions.arff area_under_roc_curve 0.823611111111111 [0.92,0.809167,0.888889,0.843333,0.863056,0.898056,0.654722,0.810556,0.899722,0.648611] average_cost 0 f_measure 0.694555409062053 [0.913043,0.74184,0.866667,0.769231,0.688742,0.5346,0.408163,0.736842,0.886427,0.4] kappa 0.6472222222222223 kb_relative_information_score 1335.943993493951 mean_absolute_error 0.06350000000000064 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7591440521973781 [1,0.912409,0.975,0.853659,0.616601,0.366853,0.48951,0.887324,0.993789,0.496296] predictive_accuracy 0.6825 prior_entropy 3.321928094887362 recall 0.6825 [0.84,0.625,0.78,0.7,0.78,0.985,0.35,0.63,0.8,0.335] relative_absolute_error 0.3527777777777705 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2519920633670843 root_relative_squared_error 0.8399735445569347 total_cost 0 area_under_roc_curve 0.8194444444444444 [0.9,0.913889,0.85,0.847222,0.913889,0.85,0.638889,0.8,0.8,0.680556] area_under_roc_curve 0.8472222222222223 [0.95,0.719444,0.9,0.936111,0.927778,0.936111,0.677778,0.797222,0.95,0.677778] area_under_roc_curve 0.811111111111111 [0.9,0.847222,0.85,0.741667,0.825,0.863889,0.702778,0.797222,0.95,0.633333] area_under_roc_curve 0.825 [0.9,0.747222,0.875,0.844444,0.877778,0.894444,0.775,0.769444,0.925,0.641667] area_under_roc_curve 0.7888888888888889 [0.925,0.772222,0.85,0.866667,0.777778,0.883333,0.572222,0.841667,0.825,0.575] area_under_roc_curve 0.8416666666666667 [0.95,0.85,0.975,0.722222,0.888889,0.919444,0.608333,0.872222,0.975,0.655556] area_under_roc_curve 0.8194444444444445 [0.875,0.794444,0.925,0.913889,0.805556,0.891667,0.658333,0.791667,0.922222,0.616667] area_under_roc_curve 0.8444444444444443 [0.925,0.85,0.897222,0.822222,0.888889,0.938889,0.75,0.869444,0.8,0.702778] area_under_roc_curve 0.8472222222222223 [0.925,0.747222,0.95,0.963889,0.936111,0.911111,0.563889,0.772222,0.975,0.727778] area_under_roc_curve 0.7916666666666665 [0.95,0.85,0.816667,0.775,0.788889,0.891667,0.6,0.794444,0.875,0.575] 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 0.6980478695543257 [0.888889,0.829268,0.823529,0.8,0.829268,0.452381,0.4,0.75,0.75,0.457143] f_measure 0.7235171141344481 [0.947368,0.580645,0.888889,0.837209,0.782609,0.634921,0.444444,0.727273,0.947368,0.444444] f_measure 0.6786781990451568 [0.888889,0.8,0.823529,0.606061,0.651163,0.481013,0.486486,0.727273,0.947368,0.375] f_measure 0.6993808596917743 [0.888889,0.645161,0.857143,0.777778,0.727273,0.512821,0.585366,0.666667,0.918919,0.413793] f_measure 0.6329580797649776 [0.918919,0.6875,0.823529,0.789474,0.6,0.487805,0.235294,0.756757,0.787879,0.242424] f_measure 0.7147004610839798 [0.947368,0.823529,0.974359,0.6,0.68,0.57971,0.322581,0.833333,0.974359,0.411765] f_measure 0.6829377944814758 [0.857143,0.705882,0.918919,0.829268,0.65,0.506329,0.424242,0.685714,0.894737,0.357143] f_measure 0.729447766552131 [0.918919,0.823529,0.864865,0.764706,0.68,0.645161,0.55,0.810811,0.75,0.486486] f_measure 0.7135450904463493 [0.918919,0.645161,0.947368,0.883721,0.716981,0.612903,0.222222,0.6875,0.974359,0.526316] f_measure 0.6373911079189896 [0.947368,0.823529,0.722222,0.709677,0.565217,0.506329,0.294118,0.705882,0.857143,0.242424] kappa 0.638888888888889 kappa 0.6944444444444444 kappa 0.6222222222222222 kappa 0.65 kappa 0.5777777777777778 kappa 0.6833333333333333 kappa 0.638888888888889 kappa 0.6888888888888889 kappa 0.6944444444444444 kappa 0.5833333333333334 kb_relative_information_score 132.02576311355642 kb_relative_information_score 142.48333801916317 kb_relative_information_score 128.88849064187437 kb_relative_information_score 134.11727809467777 kb_relative_information_score 120.52243071738899 kb_relative_information_score 140.39182303804182 kb_relative_information_score 132.02576311355642 kb_relative_information_score 141.4375805286025 kb_relative_information_score 142.48333801916317 kb_relative_information_score 121.56818820794965 mean_absolute_error 0.06499999999999993 mean_absolute_error 0.054999999999999966 mean_absolute_error 0.06799999999999992 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.07599999999999989 mean_absolute_error 0.05699999999999996 mean_absolute_error 0.06499999999999993 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.054999999999999966 mean_absolute_error 0.0749999999999999 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 0.7982589285714284 [1,0.809524,1,0.933333,0.809524,0.296875,0.6,1,1,0.533333] precision 0.7681291408288375 [1,0.818182,1,0.782609,0.692308,0.465116,0.5,0.923077,1,0.5] precision 0.7585782340825906 [1,0.933333,1,0.769231,0.608696,0.322034,0.529412,0.923077,1,0.5] precision 0.7879834246213558 [1,0.909091,1,0.875,0.666667,0.344828,0.571429,0.846154,1,0.666667] precision 0.708951665033259 [1,0.916667,1,0.833333,0.6,0.322581,0.285714,0.823529,1,0.307692] precision 0.7766875386518244 [1,1,1,0.9,0.566667,0.408163,0.454545,0.9375,1,0.5] precision 0.7563555700420107 [1,0.857143,1,0.809524,0.65,0.338983,0.538462,0.8,0.944444,0.625] precision 0.7874369747899159 [1,1,0.941176,0.928571,0.566667,0.47619,0.55,0.882353,1,0.529412] precision 0.7664110044544827 [1,0.909091,1,0.826087,0.575758,0.452381,0.428571,0.916667,1,0.555556] precision 0.7173461072825479 [1,1,0.8125,1,0.5,0.338983,0.357143,0.857143,1,0.307692] predictive_accuracy 0.675 predictive_accuracy 0.725 predictive_accuracy 0.66 predictive_accuracy 0.685 predictive_accuracy 0.62 predictive_accuracy 0.715 predictive_accuracy 0.675 predictive_accuracy 0.72 predictive_accuracy 0.725 predictive_accuracy 0.625 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 0.675 [0.8,0.85,0.7,0.7,0.85,0.95,0.3,0.6,0.6,0.4] recall 0.725 [0.9,0.45,0.8,0.9,0.9,1,0.4,0.6,0.9,0.4] recall 0.66 [0.8,0.7,0.7,0.5,0.7,0.95,0.45,0.6,0.9,0.3] recall 0.685 [0.8,0.5,0.75,0.7,0.8,1,0.6,0.55,0.85,0.3] recall 0.62 [0.85,0.55,0.7,0.75,0.6,1,0.2,0.7,0.65,0.2] recall 0.715 [0.9,0.7,0.95,0.45,0.85,1,0.25,0.75,0.95,0.35] recall 0.675 [0.75,0.6,0.85,0.85,0.65,1,0.35,0.6,0.85,0.25] recall 0.72 [0.85,0.7,0.8,0.65,0.85,1,0.55,0.75,0.6,0.45] recall 0.725 [0.85,0.5,0.9,0.95,0.95,0.95,0.15,0.55,0.95,0.5] recall 0.625 [0.9,0.7,0.65,0.55,0.65,1,0.25,0.6,0.75,0.2] relative_absolute_error 0.36111111111111116 relative_absolute_error 0.3055555555555557 relative_absolute_error 0.3777777777777777 relative_absolute_error 0.35 relative_absolute_error 0.42222222222222205 relative_absolute_error 0.31666666666666676 relative_absolute_error 0.36111111111111116 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.3055555555555557 relative_absolute_error 0.4166666666666666 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 0.2549509756796391 root_mean_squared_error 0.2345207879911714 root_mean_squared_error 0.2607680962081058 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.2756809750418042 root_mean_squared_error 0.23874672772626634 root_mean_squared_error 0.2549509756796391 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.2345207879911714 root_mean_squared_error 0.27386127875258287 root_relative_squared_error 0.8498365855987976 root_relative_squared_error 0.7817359599705718 root_relative_squared_error 0.8692269873603533 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.9189365834726813 root_relative_squared_error 0.7958224257542216 root_relative_squared_error 0.8498365855987976 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7817359599705718 root_relative_squared_error 0.9128709291752767 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 3584.3946509999114 usercpu_time_millis 3523.834373000227 usercpu_time_millis 3074.1391639999165 usercpu_time_millis 3025.278021000304 usercpu_time_millis 3120.6827589994646 usercpu_time_millis 3820.245839999643 usercpu_time_millis 3355.1250949999485 usercpu_time_millis 2930.7152270002916 usercpu_time_millis 3003.044265999506 usercpu_time_millis 3726.9925250002416 usercpu_time_millis_testing 50.417220999861456 usercpu_time_millis_testing 44.96896499995273 usercpu_time_millis_testing 43.22421000006216 usercpu_time_millis_testing 45.68557900029191 usercpu_time_millis_testing 50.66435599974284 usercpu_time_millis_testing 44.8562269998547 usercpu_time_millis_testing 44.54408599985982 usercpu_time_millis_testing 43.43175800022436 usercpu_time_millis_testing 44.235401999685564 usercpu_time_millis_testing 52.43403200029206 usercpu_time_millis_training 3533.97743000005 usercpu_time_millis_training 3478.8654080002743 usercpu_time_millis_training 3030.9149539998543 usercpu_time_millis_training 2979.592442000012 usercpu_time_millis_training 3070.0184029997217 usercpu_time_millis_training 3775.3896129997884 usercpu_time_millis_training 3310.5810090000887 usercpu_time_millis_training 2887.2834690000673 usercpu_time_millis_training 2958.8088639998205 usercpu_time_millis_training 3674.5584929999495