8911258 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) 6848501 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 0.7344902289458818 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 2 7684 min_samples_split 13 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 18738198 description https://api.openml.org/data/download/18738198/description.xml -1 18738199 predictions https://api.openml.org/data/download/18738199/predictions.arff area_under_roc_curve 0.9811 [0.999967,0.972861,0.995314,0.989353,0.978228,0.993267,0.94385,0.992403,0.998256,0.947503] average_cost 0 f_measure 0.8137370752765192 [0.977887,0.782178,0.939394,0.879795,0.749326,0.901961,0.528117,0.884161,0.953608,0.540943] kappa 0.7927777777777778 kb_relative_information_score 1572.794996531616 mean_absolute_error 0.06120795127158768 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8159146294568116 [0.961353,0.77451,0.94898,0.900524,0.812865,0.884615,0.516746,0.838565,0.984043,0.536946] predictive_accuracy 0.8134999999999999 prior_entropy 3.321928094887362 recall 0.8135 [0.995,0.79,0.93,0.86,0.695,0.92,0.54,0.935,0.925,0.545] relative_absolute_error 0.34004417373103224 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16039074776887888 root_relative_squared_error 0.5346358258962547 total_cost 0 area_under_roc_curve 0.98175 [1,0.9775,0.993611,0.997778,0.980278,1,0.9275,0.993889,0.998056,0.948889] area_under_roc_curve 0.9814166666666665 [0.999722,0.975556,0.9925,0.985556,0.976944,0.989444,0.952778,0.991111,0.995833,0.954722] area_under_roc_curve 0.9774999999999998 [1,0.979722,0.999722,0.975556,0.974167,0.994167,0.9175,0.990278,1,0.943889] area_under_roc_curve 0.9860000000000001 [1,0.973333,0.994167,0.994167,0.986944,0.996111,0.973611,0.994722,0.998889,0.948056] area_under_roc_curve 0.9831111111111112 [1,0.968056,0.999444,0.995278,0.988889,0.993611,0.953333,0.993056,0.999722,0.939722] area_under_roc_curve 0.9832777777777777 [1,0.977222,1,0.992778,0.989444,0.991944,0.941667,0.992778,0.999444,0.9475] area_under_roc_curve 0.9816944444444445 [1,0.968889,0.993056,0.995833,0.987222,0.99,0.965556,0.988611,1,0.927778] area_under_roc_curve 0.9817500000000001 [1,0.97,0.9975,0.981389,0.956667,0.9975,0.953056,0.997778,0.993889,0.969722] area_under_roc_curve 0.9810555555555556 [1,0.964444,1,0.996667,0.98,0.982778,0.936944,0.995,1,0.954722] area_under_roc_curve 0.9742500000000001 [1,0.977778,0.985278,0.977778,0.963056,0.996944,0.918611,0.993056,0.994722,0.935278] 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 0.7967944835082191 [0.97561,0.772727,0.878049,0.888889,0.714286,0.974359,0.421053,0.871795,0.947368,0.52381] f_measure 0.8100584987459931 [0.95,0.780488,0.894737,0.871795,0.742857,0.837209,0.594595,0.863636,0.974359,0.590909] f_measure 0.7966178266178267 [1,0.761905,0.974359,0.769231,0.666667,0.85,0.45,0.871795,1,0.622222] f_measure 0.8281744029283153 [0.97561,0.789474,0.95,0.926829,0.765957,0.923077,0.615385,0.820513,0.974359,0.540541] f_measure 0.7921050933246057 [0.97561,0.717949,0.918919,0.878049,0.666667,0.863636,0.536585,0.863636,0.95,0.55] f_measure 0.817478008638411 [0.97561,0.829268,1,0.820513,0.756757,0.904762,0.536585,0.930233,0.947368,0.473684] f_measure 0.8194852675085234 [1,0.790698,0.918919,0.9,0.787879,0.883721,0.6,0.863636,1,0.45] f_measure 0.8472039647211257 [1,0.731707,0.97561,0.894737,0.810811,0.923077,0.638298,0.930233,0.918919,0.648649] f_measure 0.8499540780028585 [1,0.857143,0.97561,0.952381,0.810811,0.923077,0.5,0.909091,1,0.571429] f_measure 0.7770847933450026 [0.930233,0.8,0.904762,0.888889,0.764706,0.95,0.391304,0.909091,0.810811,0.421053] kappa 0.7722222222222223 kappa 0.788888888888889 kappa 0.7722222222222223 kappa 0.8111111111111111 kappa 0.7722222222222223 kappa 0.7999999999999999 kappa 0.7999999999999999 kappa 0.8277777777777777 kappa 0.8333333333333333 kappa 0.75 kb_relative_information_score 157.14222626775475 kb_relative_information_score 155.0846688313535 kb_relative_information_score 155.12900125709209 kb_relative_information_score 158.97448354913976 kb_relative_information_score 156.9181163229997 kb_relative_information_score 159.39990027217175 kb_relative_information_score 158.75421722160246 kb_relative_information_score 157.32346380383495 kb_relative_information_score 160.46187040409757 kb_relative_information_score 153.60704860156878 mean_absolute_error 0.061625893913581066 mean_absolute_error 0.0630385543398436 mean_absolute_error 0.06293245825557217 mean_absolute_error 0.05945984871045304 mean_absolute_error 0.062094435823260054 mean_absolute_error 0.05901251431169063 mean_absolute_error 0.06047314080962668 mean_absolute_error 0.06135145697193316 mean_absolute_error 0.057738616834660875 mean_absolute_error 0.06435259274525534 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 0.8038856611225033 [0.952381,0.708333,0.857143,1,0.681818,1,0.444444,0.894737,1,0.5] precision 0.8180753567636055 [0.95,0.761905,0.944444,0.894737,0.866667,0.782609,0.647059,0.791667,1,0.541667] precision 0.8021483253588516 [1,0.727273,1,0.789474,0.75,0.85,0.45,0.894737,1,0.56] precision 0.8316430782839452 [0.952381,0.833333,0.95,0.904762,0.666667,0.947368,0.631579,0.842105,1,0.588235] precision 0.7999662618083669 [0.952381,0.736842,1,0.857143,0.846154,0.791667,0.52381,0.791667,0.95,0.55] precision 0.8184550541664555 [0.952381,0.809524,1,0.842105,0.823529,0.863636,0.52381,0.869565,1,0.5] precision 0.8306884057971015 [1,0.73913,1,0.9,1,0.826087,0.6,0.791667,1,0.45] precision 0.857183559922825 [1,0.714286,0.952381,0.944444,0.882353,0.947368,0.555556,0.869565,1,0.705882] precision 0.8569981102488842 [1,1,0.952381,0.909091,0.882353,0.947368,0.5,0.833333,1,0.545455] precision 0.7918057574707191 [0.869565,0.8,0.863636,1,0.928571,0.95,0.346154,0.833333,0.882353,0.444444] predictive_accuracy 0.795 predictive_accuracy 0.81 predictive_accuracy 0.795 predictive_accuracy 0.83 predictive_accuracy 0.795 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.845 predictive_accuracy 0.85 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 0.795 [1,0.85,0.9,0.8,0.75,0.95,0.4,0.85,0.9,0.55] recall 0.81 [0.95,0.8,0.85,0.85,0.65,0.9,0.55,0.95,0.95,0.65] recall 0.795 [1,0.8,0.95,0.75,0.6,0.85,0.45,0.85,1,0.7] recall 0.83 [1,0.75,0.95,0.95,0.9,0.9,0.6,0.8,0.95,0.5] recall 0.795 [1,0.7,0.85,0.9,0.55,0.95,0.55,0.95,0.95,0.55] recall 0.82 [1,0.85,1,0.8,0.7,0.95,0.55,1,0.9,0.45] recall 0.82 [1,0.85,0.85,0.9,0.65,0.95,0.6,0.95,1,0.45] recall 0.845 [1,0.75,1,0.85,0.75,0.9,0.75,1,0.85,0.6] recall 0.85 [1,0.75,1,1,0.75,0.9,0.5,1,1,0.6] recall 0.775 [1,0.8,0.95,0.8,0.65,0.95,0.45,1,0.75,0.4] relative_absolute_error 0.34236607729767293 relative_absolute_error 0.35021419077690924 relative_absolute_error 0.34962476808651244 relative_absolute_error 0.3303324928358506 relative_absolute_error 0.3449690879070007 relative_absolute_error 0.3278473017316149 relative_absolute_error 0.33596189338681526 relative_absolute_error 0.3408414276218512 relative_absolute_error 0.3207700935258941 relative_absolute_error 0.35751440414030783 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 0.1613937570942334 root_mean_squared_error 0.16666754625351832 root_mean_squared_error 0.16661176918652423 root_mean_squared_error 0.1549753575755538 root_mean_squared_error 0.16242884570862307 root_mean_squared_error 0.15547660763872811 root_mean_squared_error 0.15724499300238812 root_mean_squared_error 0.1583509006449915 root_mean_squared_error 0.15280449420409795 root_mean_squared_error 0.1671608397886651 root_relative_squared_error 0.5379791903141117 root_relative_squared_error 0.555558487511728 root_relative_squared_error 0.5553725639550811 root_relative_squared_error 0.5165845252518464 root_relative_squared_error 0.5414294856954105 root_relative_squared_error 0.5182553587957607 root_relative_squared_error 0.5241499766746274 root_relative_squared_error 0.5278363354833053 root_relative_squared_error 0.5093483140136601 root_relative_squared_error 0.5572027992955507 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 35792.072463000295 usercpu_time_millis 35804.628414000035 usercpu_time_millis 35690.62773499991 usercpu_time_millis 35796.12737700018 usercpu_time_millis 36058.69661700035 usercpu_time_millis 35821.23968200039 usercpu_time_millis 36170.66722000027 usercpu_time_millis 36133.322547000265 usercpu_time_millis 35998.18617099982 usercpu_time_millis 35799.17942599968 usercpu_time_millis_testing 97.31686900022396 usercpu_time_millis_testing 92.75228700016669 usercpu_time_millis_testing 90.92717800012906 usercpu_time_millis_testing 90.29885200015997 usercpu_time_millis_testing 89.45508800024982 usercpu_time_millis_testing 90.29016100021181 usercpu_time_millis_testing 92.36598799998319 usercpu_time_millis_testing 90.77263300014238 usercpu_time_millis_testing 90.43787099972178 usercpu_time_millis_testing 88.89418799981286 usercpu_time_millis_training 35694.755594000075 usercpu_time_millis_training 35711.876126999865 usercpu_time_millis_training 35599.70055699978 usercpu_time_millis_training 35705.82852500002 usercpu_time_millis_training 35969.2415290001 usercpu_time_millis_training 35730.949521000184 usercpu_time_millis_training 36078.30123200029 usercpu_time_millis_training 36042.54991400012 usercpu_time_millis_training 35907.748300000094 usercpu_time_millis_training 35710.285237999866