8913336 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) 6850497 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 0.09606291291699409 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 15 7684 min_samples_split 18 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 18742334 description https://api.openml.org/data/download/18742334/description.xml -1 18742335 predictions https://api.openml.org/data/download/18742335/predictions.arff area_under_roc_curve 0.9811836111111111 [0.999994,0.972683,0.997231,0.993739,0.976622,0.992964,0.943939,0.992139,0.998011,0.944514] average_cost 0 f_measure 0.824349051866086 [0.995,0.783505,0.935644,0.915,0.813648,0.903846,0.526316,0.867133,0.967419,0.53598] kappa 0.8072222222222223 kb_relative_information_score 1399.276205226909 mean_absolute_error 0.08746554580859314 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8241356768519774 [0.995,0.808511,0.926471,0.915,0.856354,0.87037,0.555556,0.812227,0.969849,0.53202] predictive_accuracy 0.8265 prior_entropy 3.321928094887362 recall 0.8265 [0.995,0.76,0.945,0.915,0.775,0.94,0.5,0.93,0.965,0.54] relative_absolute_error 0.4859196989366136 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17907428303997663 root_relative_squared_error 0.5969142767999129 total_cost 0 area_under_roc_curve 0.9794444444444443 [1,0.976389,0.996111,0.995,0.966111,1,0.910278,0.9925,0.999722,0.958333] area_under_roc_curve 0.9795555555555556 [1,0.968611,0.996944,0.986111,0.963889,0.992778,0.951944,0.988333,0.993889,0.953056] area_under_roc_curve 0.9801944444444445 [1,0.975278,1,0.99,0.984167,0.994167,0.923056,0.990556,1,0.944722] area_under_roc_curve 0.9859166666666668 [1,0.982222,0.995556,0.9975,0.9925,0.991667,0.968611,0.993333,0.996667,0.941111] area_under_roc_curve 0.981388888888889 [1,0.963056,0.9975,0.991944,0.987222,0.993333,0.948611,0.992778,1,0.939444] area_under_roc_curve 0.9836944444444444 [1,0.968889,1,0.993889,0.990278,0.993889,0.948333,0.994444,0.999722,0.9475] area_under_roc_curve 0.9805277777777778 [1,0.966667,0.997222,0.997222,0.975,0.975,0.971667,0.989444,1,0.933056] area_under_roc_curve 0.9844722222222222 [1,0.972222,0.998333,0.997222,0.971944,0.997222,0.955278,0.994167,0.998889,0.959444] area_under_roc_curve 0.9820555555555555 [1,0.974444,1,0.998056,0.984722,0.989444,0.945556,0.996667,1,0.931667] area_under_roc_curve 0.9782222222222222 [1,0.982222,0.990556,0.998889,0.954167,0.999722,0.926389,0.992778,0.991389,0.946111] 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 0.7953092037874256 [0.974359,0.85,0.883721,0.947368,0.857143,0.97561,0.228571,0.842105,0.97561,0.418605] f_measure 0.7974277214577838 [1,0.810811,0.926829,0.9,0.666667,0.837209,0.514286,0.790698,0.95,0.577778] f_measure 0.8121242304679626 [1,0.7,0.974359,0.761905,0.829268,0.9,0.457143,0.871795,0.97561,0.651163] f_measure 0.8296917017563642 [1,0.769231,0.974359,0.926829,0.772727,0.878049,0.571429,0.871795,0.974359,0.55814] f_measure 0.7892998291947615 [1,0.628571,0.947368,0.878049,0.777778,0.869565,0.526316,0.791667,1,0.473684] f_measure 0.8732405026307465 [1,0.871795,0.952381,0.918919,0.878049,0.926829,0.666667,0.952381,0.95,0.615385] f_measure 0.8318940101513111 [1,0.75,0.923077,0.95,0.823529,0.883721,0.619048,0.869565,1,0.5] f_measure 0.8534935322544661 [1,0.780488,0.95,0.952381,0.833333,0.9,0.651163,0.909091,0.947368,0.611111] f_measure 0.8539981912254055 [1,0.842105,1,0.97561,0.857143,0.926829,0.512821,0.888889,1,0.536585] f_measure 0.8024717394005688 [0.97561,0.820513,0.837209,0.947368,0.833333,0.95,0.461538,0.888889,0.9,0.410256] kappa 0.7777777777777778 kappa 0.7777777777777778 kappa 0.7944444444444444 kappa 0.8111111111111111 kappa 0.7722222222222223 kappa 0.8611111111111112 kappa 0.8166666666666667 kappa 0.8388888888888889 kappa 0.8388888888888889 kappa 0.7833333333333334 kb_relative_information_score 138.2409606528974 kb_relative_information_score 140.64438042692058 kb_relative_information_score 137.91055482047162 kb_relative_information_score 140.47688188030608 kb_relative_information_score 138.05072363252037 kb_relative_information_score 142.29477634634117 kb_relative_information_score 140.6261195167296 kb_relative_information_score 141.80765218442733 kb_relative_information_score 142.83393831409242 kb_relative_information_score 136.39021745220222 mean_absolute_error 0.08987643104026567 mean_absolute_error 0.08621004805453424 mean_absolute_error 0.08969335234689986 mean_absolute_error 0.08708669653268672 mean_absolute_error 0.08849451035242964 mean_absolute_error 0.08524514006590046 mean_absolute_error 0.08673799235952676 mean_absolute_error 0.08683118084135677 mean_absolute_error 0.08513961041513095 mean_absolute_error 0.0893404960771986 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 0.7945890582847105 [1,0.85,0.826087,1,0.818182,0.952381,0.266667,0.888889,0.952381,0.391304] precision 0.8028853976373158 [1,0.882353,0.904762,0.9,0.75,0.782609,0.6,0.73913,0.95,0.52] precision 0.8125943316789999 [1,0.7,1,0.727273,0.809524,0.9,0.533333,0.894737,0.952381,0.608696] precision 0.8342854418655334 [1,0.789474,1,0.904762,0.708333,0.857143,0.666667,0.894737,1,0.521739] precision 0.7968833943833944 [1,0.733333,1,0.857143,0.875,0.769231,0.555556,0.678571,1,0.5] precision 0.8740612895876053 [1,0.894737,0.909091,1,0.857143,0.904762,0.684211,0.909091,0.95,0.631579] precision 0.8396095237714231 [1,0.75,0.947368,0.95,1,0.826087,0.590909,0.769231,1,0.5625] precision 0.8588024656502918 [1,0.761905,0.95,0.909091,0.9375,0.9,0.608696,0.833333,1,0.6875] precision 0.8596157059314953 [1,0.888889,1,0.952381,1,0.904762,0.526316,0.8,1,0.52381] precision 0.8059331753296286 [0.952381,0.842105,0.782609,1,0.9375,0.95,0.473684,0.8,0.9,0.421053] predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.815 predictive_accuracy 0.83 predictive_accuracy 0.795 predictive_accuracy 0.875 predictive_accuracy 0.835 predictive_accuracy 0.855 predictive_accuracy 0.855 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 0.8 [0.95,0.85,0.95,0.9,0.9,1,0.2,0.8,1,0.45] recall 0.8 [1,0.75,0.95,0.9,0.6,0.9,0.45,0.85,0.95,0.65] recall 0.815 [1,0.7,0.95,0.8,0.85,0.9,0.4,0.85,1,0.7] recall 0.83 [1,0.75,0.95,0.95,0.85,0.9,0.5,0.85,0.95,0.6] recall 0.795 [1,0.55,0.9,0.9,0.7,1,0.5,0.95,1,0.45] recall 0.875 [1,0.85,1,0.85,0.9,0.95,0.65,1,0.95,0.6] recall 0.835 [1,0.75,0.9,0.95,0.7,0.95,0.65,1,1,0.45] recall 0.855 [1,0.8,0.95,1,0.75,0.9,0.7,1,0.9,0.55] recall 0.855 [1,0.8,1,1,0.75,0.95,0.5,1,1,0.55] recall 0.805 [1,0.8,0.9,0.9,0.75,0.95,0.45,1,0.9,0.4] relative_absolute_error 0.49931350577925426 relative_absolute_error 0.4789447114140796 relative_absolute_error 0.49829640192722197 relative_absolute_error 0.48381498073714896 relative_absolute_error 0.4916361686246097 relative_absolute_error 0.4735841114772253 relative_absolute_error 0.4818777353307047 relative_absolute_error 0.48239544911864923 relative_absolute_error 0.47299783563961695 relative_absolute_error 0.49633608931777057 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 0.1831678369174898 root_mean_squared_error 0.1803461666916881 root_mean_squared_error 0.18146958878454472 root_mean_squared_error 0.1770049901210946 root_mean_squared_error 0.18242911936863115 root_mean_squared_error 0.17345480232477953 root_mean_squared_error 0.17831721839573939 root_mean_squared_error 0.17669303638461445 root_mean_squared_error 0.17335494039696606 root_mean_squared_error 0.18412622592561648 root_relative_squared_error 0.610559456391633 root_relative_squared_error 0.601153888972294 root_relative_squared_error 0.6048986292818161 root_relative_squared_error 0.5900166337369823 root_relative_squared_error 0.6080970645621042 root_relative_squared_error 0.5781826744159322 root_relative_squared_error 0.5943907279857983 root_relative_squared_error 0.5889767879487152 root_relative_squared_error 0.5778498013232205 root_relative_squared_error 0.6137540864187219 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 9403.282330000366 usercpu_time_millis 9303.04123300084 usercpu_time_millis 9305.80552399988 usercpu_time_millis 9209.792324001683 usercpu_time_millis 9191.946405000635 usercpu_time_millis 9193.161548999342 usercpu_time_millis 9173.785775999932 usercpu_time_millis 9264.403223001864 usercpu_time_millis 9296.804355000859 usercpu_time_millis 9202.585942999576 usercpu_time_millis_testing 92.23438300068665 usercpu_time_millis_testing 96.883758000331 usercpu_time_millis_testing 96.81986299983691 usercpu_time_millis_testing 91.30555800038564 usercpu_time_millis_testing 92.08565200060548 usercpu_time_millis_testing 88.93365500080108 usercpu_time_millis_testing 92.10918300050253 usercpu_time_millis_testing 96.64696900108538 usercpu_time_millis_testing 91.73053599988634 usercpu_time_millis_testing 91.80371900038153 usercpu_time_millis_training 9311.047946999679 usercpu_time_millis_training 9206.15747500051 usercpu_time_millis_training 9208.985661000042 usercpu_time_millis_training 9118.486766001297 usercpu_time_millis_training 9099.86075300003 usercpu_time_millis_training 9104.22789399854 usercpu_time_millis_training 9081.676592999429 usercpu_time_millis_training 9167.756254000778 usercpu_time_millis_training 9205.073819000972 usercpu_time_millis_training 9110.782223999195