8926724 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) 6863560 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 "entropy" 7684 max_depth null 7684 max_features 0.762188333313685 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 9 7684 min_samples_split 3 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 18769004 description https://api.openml.org/data/download/18769004/description.xml -1 18769005 predictions https://api.openml.org/data/download/18769005/predictions.arff area_under_roc_curve 0.9806563888888891 [0.999858,0.971994,0.994197,0.987233,0.976742,0.990064,0.946392,0.991492,0.998144,0.950447] average_cost 0 f_measure 0.8070848216532918 [0.975124,0.74813,0.922693,0.869792,0.768041,0.877805,0.538462,0.872979,0.937028,0.560794] kappa 0.7866666666666667 kb_relative_information_score 1563.190162469169 mean_absolute_error 0.06292978562707814 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.807735053414271 [0.970297,0.746269,0.920398,0.907609,0.792553,0.875622,0.552632,0.811159,0.944162,0.55665] predictive_accuracy 0.8079999999999999 prior_entropy 3.321928094887362 recall 0.808 [0.98,0.75,0.925,0.835,0.745,0.88,0.525,0.945,0.93,0.565] relative_absolute_error 0.34960992015042336 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16269855465704644 root_relative_squared_error 0.5423285155234798 total_cost 0 area_under_roc_curve 0.9796111111111112 [1,0.973056,0.991111,0.994444,0.966111,1,0.928889,0.993333,0.996667,0.9525] area_under_roc_curve 0.980611111111111 [1,0.982778,0.993056,0.981944,0.966667,0.985,0.957222,0.990833,0.998611,0.95] area_under_roc_curve 0.9768611111111112 [1,0.971667,0.998056,0.97,0.981667,0.991944,0.919167,0.989167,1,0.946944] area_under_roc_curve 0.9857777777777779 [0.999167,0.976389,0.993333,0.994722,0.988056,0.993333,0.971944,0.996944,0.999722,0.944167] area_under_roc_curve 0.9820833333333333 [1,0.966667,0.997778,0.994444,0.987222,0.992222,0.958333,0.989444,0.999444,0.935278] area_under_roc_curve 0.9816111111111112 [1,0.965278,0.999444,0.988333,0.989444,0.984167,0.943611,0.991944,0.999444,0.954444] area_under_roc_curve 0.9841111111111112 [1,0.976944,0.993611,0.994722,0.989167,0.984722,0.973333,0.9875,1,0.941111] area_under_roc_curve 0.9831666666666666 [0.999722,0.971944,0.998889,0.983333,0.973056,0.994722,0.951667,0.993889,0.991389,0.973056] area_under_roc_curve 0.9815 [0.999722,0.97,0.999444,0.9975,0.983333,0.976667,0.941111,0.994722,1,0.9525] area_under_roc_curve 0.9753888888888889 [1,0.971667,0.984722,0.978333,0.955556,0.9975,0.919444,0.993611,0.996667,0.956389] 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 0.8049626174016418 [1,0.755556,0.9,0.864865,0.780488,0.974359,0.461538,0.9,0.9,0.512821] f_measure 0.8080756355757103 [1,0.871795,0.894737,0.842105,0.666667,0.837209,0.555556,0.863636,0.926829,0.622222] f_measure 0.7956059314882492 [1,0.697674,0.947368,0.777778,0.790698,0.871795,0.432432,0.871795,0.97561,0.590909] f_measure 0.8198876831803661 [0.95,0.756757,0.926829,0.926829,0.75,0.833333,0.666667,0.85,0.923077,0.615385] f_measure 0.775285622593068 [0.97561,0.666667,0.947368,0.9,0.666667,0.829268,0.526316,0.791667,0.97561,0.473684] f_measure 0.8265534541942876 [1,0.727273,0.95,0.789474,0.777778,0.883721,0.648649,0.930233,0.926829,0.631579] f_measure 0.8184984984984984 [0.974359,0.769231,0.9,0.923077,0.888889,0.844444,0.540541,0.844444,1,0.5] f_measure 0.8050344071460888 [0.95,0.731707,0.97561,0.842105,0.702703,0.842105,0.590909,0.888889,0.894737,0.631579] f_measure 0.8371118312581729 [0.95,0.787879,0.926829,0.952381,0.85,0.923077,0.514286,0.888889,1,0.577778] f_measure 0.7785425919475982 [0.952381,0.731707,0.863636,0.857143,0.8,0.947368,0.458333,0.909091,0.833333,0.432432] kappa 0.7833333333333334 kappa 0.788888888888889 kappa 0.7722222222222223 kappa 0.7999999999999999 kappa 0.7555555555555555 kappa 0.8111111111111111 kappa 0.7999999999999999 kappa 0.7833333333333334 kappa 0.8222222222222222 kappa 0.75 kb_relative_information_score 157.02071999771206 kb_relative_information_score 154.3584303083625 kb_relative_information_score 153.27634505983065 kb_relative_information_score 157.43517208793503 kb_relative_information_score 156.01588258512632 kb_relative_information_score 158.21569555160136 kb_relative_information_score 157.59855315405596 kb_relative_information_score 155.95176818817745 kb_relative_information_score 159.74626529640943 kb_relative_information_score 153.57133023995928 mean_absolute_error 0.062350578225645076 mean_absolute_error 0.06466280450771984 mean_absolute_error 0.06602316502089821 mean_absolute_error 0.061769385540277666 mean_absolute_error 0.06302203974829658 mean_absolute_error 0.06094766872326459 mean_absolute_error 0.06226905460073598 mean_absolute_error 0.0634006545151654 mean_absolute_error 0.05959319291898333 mean_absolute_error 0.06525931246979473 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 0.8083081232492997 [1,0.68,0.9,0.941176,0.761905,1,0.473684,0.9,0.9,0.526316] precision 0.8142107442519341 [1,0.894737,0.944444,0.888889,0.75,0.782609,0.625,0.791667,0.904762,0.56] precision 0.802041388637835 [1,0.652174,1,0.875,0.73913,0.894737,0.470588,0.894737,0.952381,0.541667] precision 0.82765682588825 [0.95,0.823529,0.904762,0.904762,0.642857,0.9375,0.684211,0.85,0.947368,0.631579] precision 0.7782623224728488 [0.952381,0.684211,1,0.9,0.75,0.809524,0.555556,0.678571,0.952381,0.5] precision 0.8297963098282792 [1,0.666667,0.95,0.833333,0.875,0.826087,0.705882,0.869565,0.904762,0.666667] precision 0.8245077399380805 [1,0.789474,0.9,0.947368,1,0.76,0.588235,0.76,1,0.5] precision 0.8111928104575165 [0.95,0.714286,0.952381,0.888889,0.764706,0.888889,0.541667,0.8,0.944444,0.666667] precision 0.8481221234905446 [0.95,1,0.904762,0.909091,0.85,0.947368,0.6,0.8,1,0.52] precision 0.7982655334861216 [0.909091,0.714286,0.791667,1,0.933333,1,0.392857,0.833333,0.9375,0.470588] predictive_accuracy 0.805 predictive_accuracy 0.81 predictive_accuracy 0.795 predictive_accuracy 0.82 predictive_accuracy 0.78 predictive_accuracy 0.83 predictive_accuracy 0.82 predictive_accuracy 0.805 predictive_accuracy 0.84 predictive_accuracy 0.775 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 [1,0.85,0.9,0.8,0.8,0.95,0.45,0.9,0.9,0.5] recall 0.81 [1,0.85,0.85,0.8,0.6,0.9,0.5,0.95,0.95,0.7] recall 0.795 [1,0.75,0.9,0.7,0.85,0.85,0.4,0.85,1,0.65] recall 0.82 [0.95,0.7,0.95,0.95,0.9,0.75,0.65,0.85,0.9,0.6] recall 0.78 [1,0.65,0.9,0.9,0.6,0.85,0.5,0.95,1,0.45] recall 0.83 [1,0.8,0.95,0.75,0.7,0.95,0.6,1,0.95,0.6] recall 0.82 [0.95,0.75,0.9,0.9,0.8,0.95,0.5,0.95,1,0.5] recall 0.805 [0.95,0.75,1,0.8,0.65,0.8,0.65,1,0.85,0.6] recall 0.84 [0.95,0.65,0.95,1,0.85,0.9,0.45,1,1,0.65] recall 0.775 [1,0.75,0.95,0.75,0.7,0.9,0.55,1,0.75,0.4] relative_absolute_error 0.3463921012535841 relative_absolute_error 0.35923780282066625 relative_absolute_error 0.3667953612272127 relative_absolute_error 0.343163253001543 relative_absolute_error 0.3501224430460925 relative_absolute_error 0.33859815957369255 relative_absolute_error 0.3459391922263114 relative_absolute_error 0.3522258584175859 relative_absolute_error 0.3310732939943522 relative_absolute_error 0.36255173594330453 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 0.16294600390631972 root_mean_squared_error 0.16890990729649813 root_mean_squared_error 0.16897620464160043 root_mean_squared_error 0.1588727410931383 root_mean_squared_error 0.1637998268776299 root_mean_squared_error 0.15736955143231354 root_mean_squared_error 0.15922523066877362 root_mean_squared_error 0.16281196659467012 root_mean_squared_error 0.15478637844549398 root_mean_squared_error 0.16857621956276303 root_relative_squared_error 0.5431533463543993 root_relative_squared_error 0.5630330243216608 root_relative_squared_error 0.5632540154720017 root_relative_squared_error 0.5295758036437946 root_relative_squared_error 0.5459994229254334 root_relative_squared_error 0.5245651714410454 root_relative_squared_error 0.5307507688959123 root_relative_squared_error 0.5427065553155674 root_relative_squared_error 0.5159545948183135 root_relative_squared_error 0.5619207318758772 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 271961.2118709993 usercpu_time_millis 271429.20764500013 usercpu_time_millis 269480.0789810034 usercpu_time_millis 205769.56502900066 usercpu_time_millis 135971.21148999577 usercpu_time_millis 135947.9341979968 usercpu_time_millis 115992.97434800246 usercpu_time_millis 96968.0672919967 usercpu_time_millis 96303.90157399961 usercpu_time_millis 95904.62476299945 usercpu_time_millis_testing 169.13928799840505 usercpu_time_millis_testing 194.1559109982336 usercpu_time_millis_testing 194.00299500193796 usercpu_time_millis_testing 88.09813100015162 usercpu_time_millis_testing 87.19877199837356 usercpu_time_millis_testing 90.5856209974445 usercpu_time_millis_testing 59.94001400176785 usercpu_time_millis_testing 62.74363299962715 usercpu_time_millis_testing 61.49632400047267 usercpu_time_millis_testing 91.50698599842144 usercpu_time_millis_training 271792.0725830009 usercpu_time_millis_training 271235.0517340019 usercpu_time_millis_training 269286.0759860014 usercpu_time_millis_training 205681.4668980005 usercpu_time_millis_training 135884.0127179974 usercpu_time_millis_training 135857.34857699936 usercpu_time_millis_training 115933.0343340007 usercpu_time_millis_training 96905.32365899708 usercpu_time_millis_training 96242.40524999914 usercpu_time_millis_training 95813.11777700103