8914849 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) 6851928 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 true 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.13016940720660508 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 17 7684 min_samples_split 16 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 18745344 description https://api.openml.org/data/download/18745344/description.xml -1 18745345 predictions https://api.openml.org/data/download/18745345/predictions.arff area_under_roc_curve 0.9794733333333332 [0.999975,0.969075,0.996328,0.992036,0.973872,0.992428,0.942261,0.991283,0.997664,0.939811] average_cost 0 f_measure 0.8117339338778106 [0.997494,0.755208,0.928395,0.892231,0.790451,0.890511,0.512821,0.857798,0.972431,0.52] kappa 0.7927777777777778 kb_relative_information_score 1363.4361110853636 mean_absolute_error 0.09177951994089645 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8122258541294106 [1,0.788043,0.917073,0.894472,0.841808,0.867299,0.526316,0.792373,0.974874,0.52] predictive_accuracy 0.8134999999999999 prior_entropy 3.321928094887362 recall 0.8135 [0.995,0.725,0.94,0.89,0.745,0.915,0.5,0.935,0.97,0.52] relative_absolute_error 0.5098862218938535 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1843531785831141 root_relative_squared_error 0.6145105952770377 total_cost 0 area_under_roc_curve 0.9775555555555555 [0.999722,0.968611,0.994444,0.995556,0.961111,1,0.906944,0.991667,0.999167,0.958333] area_under_roc_curve 0.9783055555555555 [1,0.968611,0.995,0.988333,0.960278,0.993056,0.950556,0.987222,0.994444,0.945556] area_under_roc_curve 0.9779444444444445 [1,0.972778,0.999722,0.982222,0.976389,0.993889,0.921944,0.989722,1,0.942778] area_under_roc_curve 0.9836666666666667 [1,0.976944,0.996111,0.994444,0.990278,0.991111,0.9675,0.992778,0.993611,0.933889] area_under_roc_curve 0.9785555555555555 [1,0.948056,0.995,0.99,0.982222,0.991389,0.949444,0.991667,1,0.937778] area_under_roc_curve 0.9819166666666668 [1,0.965556,0.999444,0.991944,0.988889,0.989722,0.947222,0.993333,0.999722,0.943333] area_under_roc_curve 0.979388888888889 [1,0.965556,0.9975,0.994167,0.969722,0.978611,0.97,0.989444,1,0.928889] area_under_roc_curve 0.9829444444444444 [1,0.970278,0.998056,0.993611,0.971111,0.995556,0.950556,0.994167,0.999167,0.956944] area_under_roc_curve 0.9809166666666665 [1,0.971389,1,0.998056,0.981389,0.989167,0.946944,0.995556,1,0.926667] area_under_roc_curve 0.9770833333333333 [1,0.984167,0.987778,0.997778,0.954444,0.999722,0.922778,0.993056,0.991944,0.939167] 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 0.8013017044188493 [0.974359,0.85,0.883721,0.947368,0.85,0.97561,0.277778,0.85,0.97561,0.428571] f_measure 0.7828681816770302 [1,0.810811,0.926829,0.878049,0.666667,0.837209,0.432432,0.790698,0.974359,0.511628] f_measure 0.8195497185741086 [1,0.731707,0.974359,0.780488,0.820513,0.9,0.512821,0.85,0.97561,0.65] f_measure 0.829846464236708 [1,0.756757,0.974359,0.926829,0.772727,0.878049,0.615385,0.85,0.974359,0.55] f_measure 0.7847913912369339 [1,0.611111,0.947368,0.85,0.722222,0.869565,0.526316,0.808511,1,0.512821] f_measure 0.8215930703323605 [1,0.789474,0.930233,0.871795,0.820513,0.9,0.55,0.930233,0.95,0.473684] f_measure 0.843635719734118 [1,0.75,0.894737,0.9,0.833333,0.857143,0.7,0.869565,1,0.631579] f_measure 0.8281242935680063 [1,0.769231,0.97561,0.878049,0.777778,0.85,0.619048,0.869565,0.947368,0.594595] f_measure 0.8138289275264348 [1,0.742857,0.97561,0.97561,0.764706,0.9,0.421053,0.869565,1,0.488889] f_measure 0.7895546931490449 [1,0.731707,0.809524,0.918919,0.864865,0.947368,0.439024,0.888889,0.926829,0.368421] kappa 0.7833333333333334 kappa 0.7611111111111112 kappa 0.7999999999999999 kappa 0.8111111111111111 kappa 0.7666666666666667 kappa 0.8055555555555555 kappa 0.8277777777777777 kappa 0.8111111111111111 kappa 0.7944444444444444 kappa 0.7666666666666667 kb_relative_information_score 134.73787616684783 kb_relative_information_score 137.16391125723703 kb_relative_information_score 134.27030218567072 kb_relative_information_score 136.15623445774966 kb_relative_information_score 134.50396295060045 kb_relative_information_score 138.82227867935333 kb_relative_information_score 137.61831771239994 kb_relative_information_score 137.76687308761294 kb_relative_information_score 139.15733340054774 kb_relative_information_score 133.2390211873475 mean_absolute_error 0.0941631910949627 mean_absolute_error 0.09052671395570924 mean_absolute_error 0.09422473343525649 mean_absolute_error 0.09208026388226724 mean_absolute_error 0.09246305107238233 mean_absolute_error 0.08951623448220573 mean_absolute_error 0.09041023274070369 mean_absolute_error 0.09137256512559232 mean_absolute_error 0.08959538830234959 mean_absolute_error 0.09344282531753562 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 0.8002439770374553 [1,0.85,0.826087,1,0.85,0.952381,0.3125,0.85,0.952381,0.409091] precision 0.7864845938375349 [1,0.882353,0.904762,0.857143,0.75,0.782609,0.470588,0.73913,1,0.478261] precision 0.8196992481203006 [1,0.714286,1,0.761905,0.842105,0.9,0.526316,0.85,0.952381,0.65] precision 0.8325346454371223 [1,0.823529,1,0.904762,0.708333,0.857143,0.631579,0.85,1,0.55] precision 0.7904805817963713 [1,0.6875,1,0.85,0.8125,0.769231,0.555556,0.703704,1,0.526316] precision 0.82093058733791 [1,0.833333,0.869565,0.894737,0.842105,0.9,0.55,0.869565,0.95,0.5] precision 0.8486023698523698 [1,0.75,0.944444,0.9,0.9375,0.818182,0.7,0.769231,1,0.666667] precision 0.8331196177403606 [1,0.789474,0.952381,0.857143,0.875,0.85,0.590909,0.769231,1,0.647059] precision 0.8253675213675215 [1,0.866667,0.952381,0.952381,0.928571,0.9,0.444444,0.769231,1,0.44] precision 0.7950411679823445 [1,0.714286,0.772727,1,0.941176,1,0.428571,0.8,0.904762,0.388889] predictive_accuracy 0.805 predictive_accuracy 0.785 predictive_accuracy 0.82 predictive_accuracy 0.83 predictive_accuracy 0.79 predictive_accuracy 0.825 predictive_accuracy 0.845 predictive_accuracy 0.83 predictive_accuracy 0.815 predictive_accuracy 0.79 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 0.805 [0.95,0.85,0.95,0.9,0.85,1,0.25,0.85,1,0.45] recall 0.785 [1,0.75,0.95,0.9,0.6,0.9,0.4,0.85,0.95,0.55] recall 0.82 [1,0.75,0.95,0.8,0.8,0.9,0.5,0.85,1,0.65] recall 0.83 [1,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.55] recall 0.79 [1,0.55,0.9,0.85,0.65,1,0.5,0.95,1,0.5] recall 0.825 [1,0.75,1,0.85,0.8,0.9,0.55,1,0.95,0.45] recall 0.845 [1,0.75,0.85,0.9,0.75,0.9,0.7,1,1,0.6] recall 0.83 [1,0.75,1,0.9,0.7,0.85,0.65,1,0.9,0.55] recall 0.815 [1,0.65,1,1,0.65,0.9,0.4,1,1,0.55] recall 0.79 [1,0.75,0.85,0.85,0.8,0.9,0.45,1,0.95,0.35] relative_absolute_error 0.52312883941646 relative_absolute_error 0.5029261886428297 relative_absolute_error 0.5234707413069811 relative_absolute_error 0.5115570215681519 relative_absolute_error 0.5136836170687913 relative_absolute_error 0.4973124137900324 relative_absolute_error 0.5022790707816878 relative_absolute_error 0.5076253618088468 relative_absolute_error 0.497752157235276 relative_absolute_error 0.5191268073196429 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 0.1879163629556544 root_mean_squared_error 0.1851756675966064 root_mean_squared_error 0.1867819162623372 root_mean_squared_error 0.18361984256045294 root_mean_squared_error 0.1871760499774954 root_mean_squared_error 0.17921248786309962 root_mean_squared_error 0.1825850186527293 root_mean_squared_error 0.18308110812569814 root_mean_squared_error 0.17895446338548546 root_mean_squared_error 0.18873779624201398 root_relative_squared_error 0.6263878765188483 root_relative_squared_error 0.6172522253220216 root_relative_squared_error 0.6226063875411243 root_relative_squared_error 0.6120661418681768 root_relative_squared_error 0.6239201665916517 root_relative_squared_error 0.5973749595436658 root_relative_squared_error 0.6086167288424313 root_relative_squared_error 0.6102703604189942 root_relative_squared_error 0.5965148779516185 root_relative_squared_error 0.6291259874733803 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 7706.930737000221 usercpu_time_millis 7526.654092001991 usercpu_time_millis 7458.835246998206 usercpu_time_millis 7627.7997299985145 usercpu_time_millis 7417.988435001462 usercpu_time_millis 6994.179049997911 usercpu_time_millis 7569.289334001951 usercpu_time_millis 7604.834514997492 usercpu_time_millis 6955.602022004314 usercpu_time_millis 7553.977538995241 usercpu_time_millis_testing 91.91146399825811 usercpu_time_millis_testing 92.75781700125663 usercpu_time_millis_testing 91.82487499856506 usercpu_time_millis_testing 91.11800499886158 usercpu_time_millis_testing 92.64455399897997 usercpu_time_millis_testing 62.98478700045962 usercpu_time_millis_testing 88.64072900178144 usercpu_time_millis_testing 87.65633499933756 usercpu_time_millis_testing 91.88306900250609 usercpu_time_millis_testing 97.96879299756256 usercpu_time_millis_training 7615.019273001963 usercpu_time_millis_training 7433.896275000734 usercpu_time_millis_training 7367.0103719996405 usercpu_time_millis_training 7536.681724999653 usercpu_time_millis_training 7325.343881002482 usercpu_time_millis_training 6931.194262997451 usercpu_time_millis_training 7480.6486050001695 usercpu_time_millis_training 7517.1781799981545 usercpu_time_millis_training 6863.718953001808 usercpu_time_millis_training 7456.0087459976785