8913963 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) 6851069 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 0.4791798073571508 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 18 7684 min_samples_split 4 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 18743584 description https://api.openml.org/data/download/18743584/description.xml -1 18743585 predictions https://api.openml.org/data/download/18743585/predictions.arff area_under_roc_curve 0.9794083333333333 [0.999939,0.969019,0.995136,0.986608,0.971642,0.990325,0.946025,0.991367,0.997419,0.946603] average_cost 0 f_measure 0.8031408452590718 [0.985075,0.746114,0.923457,0.86445,0.748011,0.878049,0.535354,0.863741,0.933002,0.554156] kappa 0.7833333333333334 kb_relative_information_score 1499.5849503800582 mean_absolute_error 0.07264225714059394 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8033031913430133 [0.980198,0.774194,0.912195,0.884817,0.79661,0.857143,0.540816,0.802575,0.926108,0.558376] predictive_accuracy 0.805 prior_entropy 3.321928094887362 recall 0.805 [0.99,0.72,0.935,0.845,0.705,0.9,0.53,0.935,0.94,0.55] relative_absolute_error 0.40356809522550946 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17002227209045956 root_relative_squared_error 0.5667409069681898 total_cost 0 area_under_roc_curve 0.9766666666666667 [1,0.967222,0.992222,0.993889,0.954167,1,0.922222,0.992222,0.993056,0.951667] area_under_roc_curve 0.9792222222222223 [1,0.976944,0.994722,0.983889,0.957222,0.987222,0.953611,0.988333,0.998333,0.951944] area_under_roc_curve 0.9755555555555557 [1,0.966111,0.999722,0.964167,0.968333,0.990278,0.931944,0.99,1,0.945] area_under_roc_curve 0.9839444444444445 [0.999722,0.976667,0.993611,0.9925,0.986667,0.993611,0.968333,0.995,0.999444,0.933889] area_under_roc_curve 0.98025 [1,0.963889,0.997222,0.990833,0.977778,0.991111,0.953611,0.991111,0.999722,0.937222] area_under_roc_curve 0.9815277777777779 [1,0.963611,0.999444,0.986389,0.990556,0.987222,0.946944,0.991111,0.998056,0.951944] area_under_roc_curve 0.9825833333333333 [0.999722,0.975278,0.994167,0.991944,0.985833,0.979444,0.975833,0.986944,1,0.936667] area_under_roc_curve 0.9815833333333334 [1,0.960278,0.998056,0.983611,0.974444,0.993611,0.953889,0.993333,0.990833,0.967778] area_under_roc_curve 0.9808333333333334 [1,0.9725,0.999722,0.9975,0.980833,0.981944,0.936389,0.994167,1,0.945278] area_under_roc_curve 0.9757222222222223 [1,0.975,0.989444,0.980278,0.946389,0.998611,0.923333,0.994167,0.996389,0.953611] 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 0.7776056610010397 [0.97561,0.761905,0.9,0.894737,0.75,0.974359,0.324324,0.878049,0.878049,0.439024] f_measure 0.7728603135182829 [1,0.810811,0.864865,0.8,0.611111,0.837209,0.5,0.8,0.926829,0.577778] f_measure 0.7707900328632036 [1,0.666667,0.974359,0.756757,0.666667,0.809524,0.487805,0.820513,0.97561,0.55] f_measure 0.8282159265786483 [0.95,0.777778,0.926829,0.883721,0.73913,0.871795,0.7,0.871795,0.95,0.611111] f_measure 0.7661331304083879 [1,0.685714,0.923077,0.878049,0.685714,0.863636,0.486486,0.808511,0.909091,0.421053] f_measure 0.8361966969976643 [1,0.731707,0.952381,0.833333,0.789474,0.904762,0.666667,0.930233,0.904762,0.648649] f_measure 0.8392583732057416 [0.974359,0.769231,0.9,0.923077,0.888889,0.863636,0.65,0.844444,1,0.578947] f_measure 0.820069210184743 [1,0.731707,0.952381,0.842105,0.702703,0.789474,0.636364,0.909091,0.918919,0.717949] f_measure 0.8264924726921963 [0.97561,0.764706,0.97561,0.930233,0.8,0.923077,0.486486,0.851064,1,0.55814] f_measure 0.7949606058000839 [0.97561,0.769231,0.863636,0.888889,0.857143,0.95,0.4,0.930233,0.864865,0.45] kappa 0.7555555555555555 kappa 0.75 kappa 0.7444444444444445 kappa 0.8111111111111111 kappa 0.75 kappa 0.8222222222222222 kappa 0.8222222222222222 kappa 0.7999999999999999 kappa 0.8111111111111111 kappa 0.7666666666666667 kb_relative_information_score 149.7117456353641 kb_relative_information_score 148.7736727913494 kb_relative_information_score 147.01903889980312 kb_relative_information_score 151.098525733166 kb_relative_information_score 149.17455834708778 kb_relative_information_score 152.1153380782873 kb_relative_information_score 150.79452669712666 kb_relative_information_score 150.0703441688934 kb_relative_information_score 152.92182289184223 kb_relative_information_score 147.9053771371398 mean_absolute_error 0.0735729777382015 mean_absolute_error 0.07335307892786419 mean_absolute_error 0.07562262239736461 mean_absolute_error 0.07172090805240303 mean_absolute_error 0.07271892212778451 mean_absolute_error 0.07038092917223794 mean_absolute_error 0.07231381478211224 mean_absolute_error 0.07259707460216813 mean_absolute_error 0.07013553028210226 mean_absolute_error 0.07400671332370108 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 0.7769896443425856 [0.952381,0.727273,0.9,0.944444,0.75,1,0.352941,0.857143,0.857143,0.428571] precision 0.7800900012178785 [1,0.882353,0.941176,0.8,0.6875,0.782609,0.5625,0.72,0.904762,0.52] precision 0.7737507538900726 [1,0.636364,1,0.823529,0.684211,0.772727,0.47619,0.842105,0.952381,0.55] precision 0.8336668699340325 [0.95,0.875,0.904762,0.826087,0.653846,0.894737,0.7,0.894737,0.95,0.6875] precision 0.7707071191049518 [1,0.8,0.947368,0.857143,0.8,0.791667,0.529412,0.703704,0.833333,0.444444] precision 0.8381140780630955 [1,0.714286,0.909091,0.9375,0.833333,0.863636,0.684211,0.869565,0.863636,0.705882] precision 0.8449619883040935 [1,0.789474,0.9,0.947368,1,0.791667,0.65,0.76,1,0.611111] precision 0.8263813499881612 [1,0.714286,0.909091,0.888889,0.764706,0.833333,0.583333,0.833333,1,0.736842] precision 0.8375491940992009 [0.952381,0.928571,0.952381,0.869565,0.933333,0.947368,0.529412,0.740741,1,0.521739] precision 0.8104262991237684 [0.952381,0.789474,0.791667,1,1,0.95,0.36,0.869565,0.941176,0.45] predictive_accuracy 0.78 predictive_accuracy 0.775 predictive_accuracy 0.77 predictive_accuracy 0.83 predictive_accuracy 0.775 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.83 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 0.78 [1,0.8,0.9,0.85,0.75,0.95,0.3,0.9,0.9,0.45] recall 0.775 [1,0.75,0.8,0.8,0.55,0.9,0.45,0.9,0.95,0.65] recall 0.77 [1,0.7,0.95,0.7,0.65,0.85,0.5,0.8,1,0.55] recall 0.83 [0.95,0.7,0.95,0.95,0.85,0.85,0.7,0.85,0.95,0.55] recall 0.775 [1,0.6,0.9,0.9,0.6,0.95,0.45,0.95,1,0.4] recall 0.84 [1,0.75,1,0.75,0.75,0.95,0.65,1,0.95,0.6] recall 0.84 [0.95,0.75,0.9,0.9,0.8,0.95,0.65,0.95,1,0.55] recall 0.82 [1,0.75,1,0.8,0.65,0.75,0.7,1,0.85,0.7] recall 0.83 [1,0.65,1,1,0.7,0.9,0.45,1,1,0.6] recall 0.79 [1,0.75,0.95,0.8,0.75,0.95,0.45,1,0.8,0.45] relative_absolute_error 0.408738765212231 relative_absolute_error 0.40751710515480155 relative_absolute_error 0.42012567998535943 relative_absolute_error 0.39844948918001727 relative_absolute_error 0.4039940118210255 relative_absolute_error 0.391005162067989 relative_absolute_error 0.4017434154561796 relative_absolute_error 0.40331708112315673 relative_absolute_error 0.38964183490056853 relative_absolute_error 0.41114840735389535 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 0.17189633308270516 root_mean_squared_error 0.1746606057156963 root_mean_squared_error 0.17503994233517114 root_mean_squared_error 0.1666393773620903 root_mean_squared_error 0.17173411306215453 root_mean_squared_error 0.16446666173566127 root_mean_squared_error 0.16847668661641743 root_mean_squared_error 0.16984629549854338 root_mean_squared_error 0.16345665730653033 root_mean_squared_error 0.17355478902662497 root_relative_squared_error 0.5729877769423508 root_relative_squared_error 0.5822020190523214 root_relative_squared_error 0.5834664744505709 root_relative_squared_error 0.5554645912069681 root_relative_squared_error 0.5724470435405155 root_relative_squared_error 0.5482222057855378 root_relative_squared_error 0.5615889553880585 root_relative_squared_error 0.5661543183284783 root_relative_squared_error 0.5448555243551013 root_relative_squared_error 0.5785159634220836 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 77986.1350559986 usercpu_time_millis 79137.10847200127 usercpu_time_millis 80124.16448799922 usercpu_time_millis 79533.24809299738 usercpu_time_millis 79547.25106299884 usercpu_time_millis 79715.13265300018 usercpu_time_millis 76889.01088100101 usercpu_time_millis 79468.42122300222 usercpu_time_millis 78296.7788370006 usercpu_time_millis 79158.16745800112 usercpu_time_millis_testing 87.9217649999191 usercpu_time_millis_testing 86.74142000018037 usercpu_time_millis_testing 86.87898399875849 usercpu_time_millis_testing 93.997212999966 usercpu_time_millis_testing 89.88466799928574 usercpu_time_millis_testing 63.44838899894967 usercpu_time_millis_testing 88.74565299993264 usercpu_time_millis_testing 87.27875200202106 usercpu_time_millis_testing 87.73447400017176 usercpu_time_millis_testing 86.05192599861766 usercpu_time_millis_training 77898.21329099868 usercpu_time_millis_training 79050.3670520011 usercpu_time_millis_training 80037.28550400047 usercpu_time_millis_training 79439.25087999742 usercpu_time_millis_training 79457.36639499955 usercpu_time_millis_training 79651.68426400123 usercpu_time_millis_training 76800.26522800108 usercpu_time_millis_training 79381.1424710002 usercpu_time_millis_training 78209.04436300043 usercpu_time_millis_training 79072.1155320025