8917186 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6854176 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 bootstrap false 7684 class_weight null 7684 criterion "entropy" 7684 max_depth null 7684 max_features 0.12291945003631144 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 20 7684 min_samples_split 20 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 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 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18750000 description https://api.openml.org/data/download/18750000/description.xml -1 18750001 predictions https://api.openml.org/data/download/18750001/predictions.arff area_under_roc_curve 0.9813713888888889 [1,0.973706,0.996767,0.993364,0.976469,0.992689,0.944764,0.992208,0.998669,0.945078] average_cost 0 f_measure 0.8231268285153901 [0.997494,0.774026,0.931707,0.897756,0.796834,0.900243,0.541114,0.87037,0.97,0.551724] kappa 0.8061111111111111 kb_relative_information_score 1418.4849534061234 mean_absolute_error 0.08534678656199167 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8231109607583399 [1,0.805405,0.909524,0.895522,0.843575,0.876777,0.576271,0.810345,0.97,0.543689] predictive_accuracy 0.8255 prior_entropy 3.321928094887362 recall 0.8255 [0.995,0.745,0.955,0.9,0.755,0.925,0.51,0.94,0.97,0.56] relative_absolute_error 0.47414881423327243 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1771665837819362 root_relative_squared_error 0.5905552792731117 total_cost 0 area_under_roc_curve 0.9793055555555555 [1,0.975278,0.994444,0.994722,0.965278,1,0.912222,0.992222,0.999722,0.959167] area_under_roc_curve 0.9803888888888888 [1,0.975278,0.997222,0.989722,0.959722,0.991667,0.951667,0.990278,0.997222,0.951111] area_under_roc_curve 0.978888888888889 [1,0.974167,1,0.982222,0.984722,0.993056,0.921944,0.99,1,0.942778] area_under_roc_curve 0.985861111111111 [1,0.982778,0.996111,0.996667,0.992778,0.995,0.966389,0.994167,0.997778,0.936944] area_under_roc_curve 0.9814999999999999 [1,0.9625,0.997222,0.993611,0.985278,0.989444,0.951667,0.9925,1,0.942778] area_under_roc_curve 0.9834166666666667 [1,0.968889,0.999722,0.991667,0.989167,0.992222,0.948889,0.993333,0.999722,0.950556] area_under_roc_curve 0.9822777777777777 [1,0.973889,0.996944,0.998889,0.979722,0.978889,0.971667,0.988611,1,0.934167] area_under_roc_curve 0.9844722222222224 [1,0.973056,0.998611,0.996667,0.976111,0.9975,0.951944,0.995278,0.998889,0.956667] area_under_roc_curve 0.9819722222222222 [1,0.974167,0.999722,0.998056,0.983056,0.986667,0.9475,0.996111,1,0.934444] area_under_roc_curve 0.9779166666666669 [1,0.979722,0.989444,0.997778,0.951111,0.999444,0.926389,0.993889,0.993889,0.9475] 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 0.7858812055153517 [0.974359,0.829268,0.904762,0.923077,0.820513,0.95,0.222222,0.878049,0.97561,0.380952] f_measure 0.81270925233295 [1,0.842105,0.926829,0.9,0.666667,0.857143,0.571429,0.790698,0.95,0.622222] f_measure 0.8367298268446044 [1,0.731707,0.974359,0.8,0.857143,0.9,0.529412,0.871795,0.97561,0.727273] f_measure 0.8342845305888783 [1,0.756757,0.95,0.904762,0.782609,0.871795,0.666667,0.871795,0.974359,0.564103] f_measure 0.7785229283085299 [1,0.611111,0.947368,0.837209,0.685714,0.844444,0.514286,0.808511,1,0.536585] f_measure 0.8470924033119154 [1,0.820513,0.952381,0.864865,0.829268,0.926829,0.634146,0.952381,0.95,0.540541] f_measure 0.858612584974141 [1,0.75,0.923077,0.95,0.857143,0.904762,0.7,0.869565,1,0.631579] f_measure 0.8375427730049039 [1,0.8,0.952381,0.926829,0.810811,0.85,0.6,0.909091,0.947368,0.578947] f_measure 0.8327207560707073 [1,0.823529,0.952381,0.952381,0.823529,0.926829,0.473684,0.851064,1,0.52381] f_measure 0.8029191939378453 [1,0.769231,0.844444,0.918919,0.823529,0.97561,0.461538,0.909091,0.926829,0.4] kappa 0.7666666666666667 kappa 0.7944444444444444 kappa 0.8222222222222222 kappa 0.8166666666666667 kappa 0.7611111111111112 kappa 0.8333333333333333 kappa 0.8444444444444444 kappa 0.8222222222222222 kappa 0.8166666666666667 kappa 0.7833333333333334 kb_relative_information_score 140.44559898246413 kb_relative_information_score 142.59101525699415 kb_relative_information_score 139.25867791560697 kb_relative_information_score 142.69893664243253 kb_relative_information_score 139.69451311077748 kb_relative_information_score 144.12390713958098 kb_relative_information_score 142.79391819953446 kb_relative_information_score 143.66222058871756 kb_relative_information_score 144.3834783775965 kb_relative_information_score 138.83268719242042 mean_absolute_error 0.08745506978847492 mean_absolute_error 0.08428400669723995 mean_absolute_error 0.08805919381857652 mean_absolute_error 0.08476996744027536 mean_absolute_error 0.08658713586686986 mean_absolute_error 0.08302433852519199 mean_absolute_error 0.08450407493759618 mean_absolute_error 0.08480993721700798 mean_absolute_error 0.0831370529633509 mean_absolute_error 0.08683708836533224 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 0.7835794030530872 [1,0.809524,0.863636,0.947368,0.842105,0.95,0.25,0.857143,0.952381,0.363636] precision 0.8177629713281885 [1,0.888889,0.904762,0.9,0.75,0.818182,0.666667,0.73913,0.95,0.56] precision 0.8389109136477557 [1,0.714286,1,0.8,0.818182,0.9,0.642857,0.894737,0.952381,0.666667] precision 0.838210504665613 [1,0.823529,0.95,0.863636,0.692308,0.894737,0.684211,0.894737,1,0.578947] precision 0.7857621923165402 [1,0.6875,1,0.782609,0.8,0.76,0.6,0.703704,1,0.52381] precision 0.8473032179378928 [1,0.842105,0.909091,0.941176,0.809524,0.904762,0.619048,0.909091,0.95,0.588235] precision 0.8646902220586432 [1,0.75,0.947368,0.95,1,0.863636,0.7,0.769231,1,0.666667] precision 0.8390650199473728 [1,0.8,0.909091,0.904762,0.882353,0.85,0.6,0.833333,1,0.611111] precision 0.8463684463684463 [1,1,0.909091,0.909091,1,0.904762,0.5,0.740741,1,0.5] precision 0.8113634085213033 [1,0.789474,0.76,1,1,0.952381,0.473684,0.833333,0.904762,0.4] predictive_accuracy 0.79 predictive_accuracy 0.815 predictive_accuracy 0.84 predictive_accuracy 0.835 predictive_accuracy 0.785 predictive_accuracy 0.85 predictive_accuracy 0.86 predictive_accuracy 0.84 predictive_accuracy 0.835 predictive_accuracy 0.805 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 0.79 [0.95,0.85,0.95,0.9,0.8,0.95,0.2,0.9,1,0.4] recall 0.815 [1,0.8,0.95,0.9,0.6,0.9,0.5,0.85,0.95,0.7] recall 0.84 [1,0.75,0.95,0.8,0.9,0.9,0.45,0.85,1,0.8] recall 0.835 [1,0.7,0.95,0.95,0.9,0.85,0.65,0.85,0.95,0.55] recall 0.785 [1,0.55,0.9,0.9,0.6,0.95,0.45,0.95,1,0.55] recall 0.85 [1,0.8,1,0.8,0.85,0.95,0.65,1,0.95,0.5] recall 0.86 [1,0.75,0.9,0.95,0.75,0.95,0.7,1,1,0.6] recall 0.84 [1,0.8,1,0.95,0.75,0.85,0.6,1,0.9,0.55] recall 0.835 [1,0.7,1,1,0.7,0.95,0.45,1,1,0.55] recall 0.805 [1,0.75,0.95,0.85,0.7,1,0.45,1,0.95,0.4] relative_absolute_error 0.48586149882486124 relative_absolute_error 0.4682444816513336 relative_absolute_error 0.4892177434365368 relative_absolute_error 0.47094426355708585 relative_absolute_error 0.4810396437048331 relative_absolute_error 0.461246325139956 relative_absolute_error 0.46946708298664597 relative_absolute_error 0.4711663178722671 relative_absolute_error 0.4618725164630611 relative_absolute_error 0.4824282686962908 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 0.18039721200825345 root_mean_squared_error 0.1781487149626427 root_mean_squared_error 0.18049376718915064 root_mean_squared_error 0.17479546757217593 root_mean_squared_error 0.1811131451334241 root_mean_squared_error 0.17195413922432728 root_mean_squared_error 0.1759285224559562 root_mean_squared_error 0.17503068249688775 root_mean_squared_error 0.1713812661190742 root_mean_squared_error 0.18204419608045883 root_relative_squared_error 0.6013240400275118 root_relative_squared_error 0.593829049875476 root_relative_squared_error 0.6016458906305024 root_relative_squared_error 0.5826515585739201 root_relative_squared_error 0.6037104837780807 root_relative_squared_error 0.5731804640810912 root_relative_squared_error 0.586428408186521 root_relative_squared_error 0.5834356083229595 root_relative_squared_error 0.571270887063581 root_relative_squared_error 0.6068139869348631 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 41356.57291299867 usercpu_time_millis 41241.394746997685 usercpu_time_millis 41052.17151899706 usercpu_time_millis 41408.5003049986 usercpu_time_millis 41146.50563399482 usercpu_time_millis 41185.776325000916 usercpu_time_millis 41300.02849399898 usercpu_time_millis 41203.01983200625 usercpu_time_millis 41347.45699900668 usercpu_time_millis 41206.62614799949 usercpu_time_millis_testing 88.57549700042 usercpu_time_millis_testing 92.25551399867982 usercpu_time_millis_testing 92.18082499864977 usercpu_time_millis_testing 89.37993099971209 usercpu_time_millis_testing 125.5317679970176 usercpu_time_millis_testing 90.72713500063401 usercpu_time_millis_testing 92.33181300078286 usercpu_time_millis_testing 89.49239100184059 usercpu_time_millis_testing 92.3634110004059 usercpu_time_millis_testing 91.28529000008712 usercpu_time_millis_training 41267.99741599825 usercpu_time_millis_training 41149.139232999005 usercpu_time_millis_training 40959.99069399841 usercpu_time_millis_training 41319.120373998885 usercpu_time_millis_training 41020.9738659978 usercpu_time_millis_training 41095.04919000028 usercpu_time_millis_training 41207.6966809982 usercpu_time_millis_training 41113.52744100441 usercpu_time_millis_training 41255.093588006275 usercpu_time_millis_training 41115.3408579994