8911396 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) 6848633 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 "gini" 7684 max_depth null 7684 max_features 0.43421796147948344 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 5 7684 min_samples_split 19 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 18738474 description https://api.openml.org/data/download/18738474/description.xml -1 18738475 predictions https://api.openml.org/data/download/18738475/predictions.arff area_under_roc_curve 0.9825166666666667 [0.999986,0.976169,0.996181,0.991803,0.978689,0.994392,0.948117,0.992256,0.998778,0.948797] average_cost 0 f_measure 0.8246538517417933 [0.985222,0.783042,0.947368,0.887755,0.796834,0.902439,0.550369,0.88361,0.966752,0.543147] kappa 0.8055555555555555 kb_relative_information_score 1580.935538934017 mean_absolute_error 0.060343251908548945 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8256261806208819 [0.970874,0.781095,0.949749,0.90625,0.843575,0.880952,0.541063,0.841629,0.989529,0.551546] predictive_accuracy 0.825 prior_entropy 3.321928094887362 recall 0.825 [1,0.785,0.945,0.87,0.755,0.925,0.56,0.93,0.945,0.535] relative_absolute_error 0.3352402883808171 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15845874909934776 root_relative_squared_error 0.5281958303311511 total_cost 0 area_under_roc_curve 0.9819722222222222 [1,0.979444,0.994167,0.997778,0.972778,1,0.928889,0.993056,0.999444,0.954167] area_under_roc_curve 0.9809444444444444 [0.999722,0.9775,0.995278,0.990278,0.970556,0.989722,0.951389,0.988889,0.996667,0.949444] area_under_roc_curve 0.9766111111111111 [1,0.979722,1,0.974722,0.983611,0.993333,0.906944,0.990833,1,0.936944] area_under_roc_curve 0.9875833333333334 [1,0.974444,0.993889,0.995278,0.987778,0.996389,0.98,0.994444,0.999722,0.953889] area_under_roc_curve 0.9855555555555555 [1,0.9725,0.999722,0.9975,0.993056,0.995833,0.959444,0.991389,1,0.946111] area_under_roc_curve 0.9859722222222222 [1,0.978889,1,0.990556,0.993611,0.994167,0.956111,0.994444,0.999444,0.9525] area_under_roc_curve 0.9825833333333334 [1,0.9725,0.991667,0.996944,0.981389,0.989444,0.967222,0.988611,1,0.938056] area_under_roc_curve 0.9838333333333334 [1,0.973333,0.998333,0.988889,0.959167,0.997222,0.961944,0.995833,0.995556,0.968056] area_under_roc_curve 0.9825833333333334 [1,0.974722,0.999722,0.997778,0.9775,0.988889,0.942222,0.995,1,0.95] area_under_roc_curve 0.9781111111111112 [1,0.980833,0.991389,0.987778,0.969722,0.998611,0.926111,0.993333,0.995556,0.937778] 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 0.824833259598164 [0.97561,0.772727,0.926829,0.888889,0.790698,0.974359,0.486486,0.9,0.947368,0.585366] f_measure 0.8091860605111748 [0.97561,0.75,0.871795,0.9,0.764706,0.818182,0.6,0.837209,0.974359,0.6] f_measure 0.7809939482853474 [1,0.714286,0.947368,0.736842,0.75,0.857143,0.45,0.842105,0.97561,0.536585] f_measure 0.8401073195810038 [1,0.789474,0.974359,0.904762,0.755556,0.9,0.666667,0.820513,0.974359,0.615385] f_measure 0.8158014606149468 [0.97561,0.722222,0.974359,0.904762,0.764706,0.909091,0.55,0.844444,1,0.512821] f_measure 0.8515951813660564 [1,0.837209,1,0.864865,0.894737,0.904762,0.634146,0.930233,0.95,0.5] f_measure 0.8309484108352663 [1,0.790698,0.947368,0.926829,0.8,0.904762,0.619048,0.863636,1,0.457143] f_measure 0.8479369453232783 [1,0.780488,0.97561,0.894737,0.810811,0.894737,0.590909,0.930233,0.918919,0.682927] f_measure 0.8544685291824881 [1,0.857143,0.952381,0.952381,0.842105,0.923077,0.5,0.952381,1,0.565217] f_measure 0.7872406000312977 [0.930233,0.820513,0.904762,0.888889,0.8,0.95,0.416667,0.909091,0.918919,0.333333] kappa 0.8055555555555555 kappa 0.788888888888889 kappa 0.7555555555555555 kappa 0.8222222222222222 kappa 0.7999999999999999 kappa 0.8388888888888889 kappa 0.8166666666666667 kappa 0.8277777777777777 kappa 0.8388888888888889 kappa 0.7611111111111112 kb_relative_information_score 157.41414051838302 kb_relative_information_score 155.7305432525339 kb_relative_information_score 153.55099260000378 kb_relative_information_score 161.0216582836316 kb_relative_information_score 158.35364933393802 kb_relative_information_score 161.2183995533177 kb_relative_information_score 158.6979836222823 kb_relative_information_score 159.15278690019852 kb_relative_information_score 161.40175094454762 kb_relative_information_score 154.39363392518484 mean_absolute_error 0.06160396152719831 mean_absolute_error 0.06226085942276677 mean_absolute_error 0.06398403090945 mean_absolute_error 0.05775665715069245 mean_absolute_error 0.06122555016062367 mean_absolute_error 0.05744491525174174 mean_absolute_error 0.06018012595443771 mean_absolute_error 0.059196418326118314 mean_absolute_error 0.05685086587823942 mean_absolute_error 0.06292913450422123 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 0.8305446961393252 [0.952381,0.708333,0.904762,1,0.73913,1,0.529412,0.9,1,0.571429] precision 0.8158297918709817 [0.952381,0.75,0.894737,0.9,0.928571,0.75,0.6,0.782609,1,0.6] precision 0.7842857142857141 [1,0.681818,1,0.777778,0.75,0.818182,0.45,0.888889,0.952381,0.52381] precision 0.8434864433811802 [1,0.833333,1,0.863636,0.68,0.9,0.684211,0.842105,1,0.631579] precision 0.8226737867395761 [0.952381,0.8125,1,0.863636,0.928571,0.833333,0.55,0.76,1,0.526316] precision 0.853297881076014 [1,0.782609,1,0.941176,0.944444,0.863636,0.619048,0.869565,0.95,0.5625] precision 0.83567711274233 [1,0.73913,1,0.904762,0.933333,0.863636,0.590909,0.791667,1,0.533333] precision 0.8563426095075711 [1,0.761905,0.952381,0.944444,0.882353,0.944444,0.541667,0.869565,1,0.666667] precision 0.8626030037214248 [1,1,0.909091,0.909091,0.888889,0.947368,0.5625,0.909091,1,0.5] precision 0.8024116367995088 [0.869565,0.842105,0.863636,1,0.933333,0.95,0.357143,0.833333,1,0.375] predictive_accuracy 0.825 predictive_accuracy 0.81 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.855 predictive_accuracy 0.835 predictive_accuracy 0.845 predictive_accuracy 0.855 predictive_accuracy 0.785 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 0.825 [1,0.85,0.95,0.8,0.85,0.95,0.45,0.9,0.9,0.6] recall 0.81 [1,0.75,0.85,0.9,0.65,0.9,0.6,0.9,0.95,0.6] recall 0.78 [1,0.75,0.9,0.7,0.75,0.9,0.45,0.8,1,0.55] recall 0.84 [1,0.75,0.95,0.95,0.85,0.9,0.65,0.8,0.95,0.6] recall 0.82 [1,0.65,0.95,0.95,0.65,1,0.55,0.95,1,0.5] recall 0.855 [1,0.9,1,0.8,0.85,0.95,0.65,1,0.95,0.45] recall 0.835 [1,0.85,0.9,0.95,0.7,0.95,0.65,0.95,1,0.4] recall 0.845 [1,0.8,1,0.85,0.75,0.85,0.65,1,0.85,0.7] recall 0.855 [1,0.75,1,1,0.8,0.9,0.45,1,1,0.65] recall 0.785 [1,0.8,0.95,0.8,0.7,0.95,0.5,1,0.85,0.3] relative_absolute_error 0.34224423070665766 relative_absolute_error 0.34589366345981576 relative_absolute_error 0.35546683838583376 relative_absolute_error 0.3208703175038473 relative_absolute_error 0.34014194533679853 relative_absolute_error 0.31913841806523224 relative_absolute_error 0.3343340330802099 relative_absolute_error 0.32886899070065767 relative_absolute_error 0.3158381437679971 relative_absolute_error 0.3496063028012294 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 0.16045965868330112 root_mean_squared_error 0.1660204616897276 root_mean_squared_error 0.17041877600402894 root_mean_squared_error 0.15046954190493414 root_mean_squared_error 0.15793393818715867 root_mean_squared_error 0.1505280815772388 root_mean_squared_error 0.1569676983152866 root_mean_squared_error 0.15509582219472143 root_mean_squared_error 0.15015710553928863 root_mean_squared_error 0.165092255257037 root_relative_squared_error 0.5348655289443374 root_relative_squared_error 0.5534015389657589 root_relative_squared_error 0.5680625866800968 root_relative_squared_error 0.5015651396831141 root_relative_squared_error 0.5264464606238625 root_relative_squared_error 0.5017602719241296 root_relative_squared_error 0.5232256610509556 root_relative_squared_error 0.5169860739824051 root_relative_squared_error 0.5005236851309625 root_relative_squared_error 0.550307517523457 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 34992.27267700007 usercpu_time_millis 34938.99391099967 usercpu_time_millis 34950.32834899985 usercpu_time_millis 34862.183114999876 usercpu_time_millis 34816.854528000025 usercpu_time_millis 34981.61267299975 usercpu_time_millis 35167.805216999564 usercpu_time_millis 34888.82024999976 usercpu_time_millis 35116.8893920003 usercpu_time_millis 35155.29452900046 usercpu_time_millis_testing 92.4624929998572 usercpu_time_millis_testing 93.96554399972956 usercpu_time_millis_testing 90.91420599997946 usercpu_time_millis_testing 90.41361299978234 usercpu_time_millis_testing 95.92180800018468 usercpu_time_millis_testing 91.12071699973967 usercpu_time_millis_testing 92.64387299981536 usercpu_time_millis_testing 90.72956499994689 usercpu_time_millis_testing 91.97135800013712 usercpu_time_millis_testing 95.3211480000391 usercpu_time_millis_training 34899.81018400022 usercpu_time_millis_training 34845.02836699994 usercpu_time_millis_training 34859.41414299987 usercpu_time_millis_training 34771.7695020001 usercpu_time_millis_training 34720.93271999984 usercpu_time_millis_training 34890.491956000005 usercpu_time_millis_training 35075.16134399975 usercpu_time_millis_training 34798.09068499981 usercpu_time_millis_training 35024.91803400016 usercpu_time_millis_training 35059.97338100042