8916826 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) 6853832 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 0.19612163952016404 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 11 7684 min_samples_split 7 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 18749282 description https://api.openml.org/data/download/18749282/description.xml -1 18749283 predictions https://api.openml.org/data/download/18749283/predictions.arff area_under_roc_curve 0.9827644444444444 [1,0.976767,0.997106,0.993725,0.978706,0.993811,0.947967,0.992786,0.998856,0.947922] average_cost 0 f_measure 0.8251445726075964 [0.992519,0.779747,0.947631,0.905,0.808399,0.903704,0.520408,0.882075,0.964286,0.547677] kappa 0.8061111111111111 kb_relative_information_score 1513.7569139310615 mean_absolute_error 0.07180391114392827 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8259910224974748 [0.99005,0.789744,0.945274,0.905,0.850829,0.892683,0.53125,0.834821,0.984375,0.535885] predictive_accuracy 0.8255 prior_entropy 3.321928094887362 recall 0.8255 [0.995,0.77,0.95,0.905,0.77,0.915,0.51,0.935,0.945,0.56] relative_absolute_error 0.3989106174662559 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16482304382674526 root_relative_squared_error 0.5494101460891424 total_cost 0 area_under_roc_curve 0.9804722222222222 [1,0.979167,0.993889,0.995833,0.966667,1,0.921111,0.993611,0.999444,0.955] area_under_roc_curve 0.9810555555555556 [1,0.975833,0.996667,0.988333,0.9675,0.991944,0.950556,0.989722,0.998056,0.951944] area_under_roc_curve 0.9798055555555556 [1,0.981111,1,0.986667,0.986667,0.993056,0.910833,0.992222,1,0.9475] area_under_roc_curve 0.9878055555555555 [1,0.983889,0.995556,0.996111,0.990278,0.994722,0.976667,0.994722,0.998611,0.9475] area_under_roc_curve 0.9838055555555556 [1,0.97,0.998611,0.992222,0.993056,0.995,0.956389,0.993611,1,0.939167] area_under_roc_curve 0.9849999999999999 [1,0.974167,1,0.995278,0.994722,0.994444,0.947778,0.993889,0.999444,0.950278] area_under_roc_curve 0.9835277777777778 [1,0.975556,0.9975,0.996944,0.98,0.981667,0.974444,0.989444,1,0.939722] area_under_roc_curve 0.9852777777777777 [1,0.970556,0.997778,0.996667,0.971944,0.996944,0.958611,0.995,0.997778,0.9675] area_under_roc_curve 0.9827777777777778 [1,0.978889,1,0.9975,0.981944,0.988056,0.947778,0.996667,1,0.936944] area_under_roc_curve 0.9790000000000001 [1,0.983611,0.990833,0.997778,0.955833,0.999722,0.930833,0.993611,0.996111,0.941667] 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 0.8051273213556404 [0.974359,0.790698,0.926829,0.947368,0.829268,1,0.333333,0.871795,0.923077,0.454545] f_measure 0.8018710524382674 [0.97561,0.810811,0.926829,0.9,0.685714,0.818182,0.514286,0.790698,0.974359,0.622222] f_measure 0.8136149041027089 [1,0.761905,0.974359,0.780488,0.820513,0.9,0.432432,0.871795,0.97561,0.619048] f_measure 0.8552200388400645 [1,0.789474,0.974359,0.926829,0.8,0.9,0.7,0.871795,0.974359,0.615385] f_measure 0.8115002427016155 [1,0.666667,0.947368,0.9,0.789474,0.909091,0.55,0.826087,1,0.526316] f_measure 0.8578947533633028 [1,0.857143,1,0.894737,0.85,0.9,0.634146,0.952381,0.95,0.540541] f_measure 0.8283569913268622 [1,0.8,0.923077,0.926829,0.823529,0.857143,0.564103,0.888889,1,0.5] f_measure 0.8355392556419514 [1,0.731707,0.95,0.904762,0.810811,0.894737,0.585366,0.909091,0.918919,0.65] f_measure 0.8453158061552842 [1,0.8,0.97561,0.952381,0.864865,0.923077,0.461538,0.930233,1,0.545455] f_measure 0.7943206568280456 [0.97561,0.780488,0.883721,0.918919,0.8,0.947368,0.409091,0.909091,0.918919,0.4] kappa 0.7833333333333334 kappa 0.7833333333333334 kappa 0.7944444444444444 kappa 0.8388888888888889 kappa 0.7944444444444444 kappa 0.8444444444444444 kappa 0.8111111111111111 kappa 0.8166666666666667 kappa 0.8277777777777777 kappa 0.7666666666666667 kb_relative_information_score 150.05882344588608 kb_relative_information_score 150.9292186265502 kb_relative_information_score 149.2722839814424 kb_relative_information_score 152.75681103210385 kb_relative_information_score 149.87359845453008 kb_relative_information_score 154.19322018202314 kb_relative_information_score 151.83028341359787 kb_relative_information_score 152.52541625114424 kb_relative_information_score 154.42366189329658 kb_relative_information_score 147.89359665048786 mean_absolute_error 0.07393093450277793 mean_absolute_error 0.07180262988996727 mean_absolute_error 0.07366706579455981 mean_absolute_error 0.07051036621388587 mean_absolute_error 0.07329149771886184 mean_absolute_error 0.06917978908914448 mean_absolute_error 0.07172011053426278 mean_absolute_error 0.0712063781679878 mean_absolute_error 0.06884796107500174 mean_absolute_error 0.07388237845283373 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 0.8087188078892885 [1,0.73913,0.904762,1,0.809524,1,0.375,0.894737,0.947368,0.416667] precision 0.8088626233101937 [0.952381,0.882353,0.904762,0.9,0.8,0.75,0.6,0.73913,1,0.56] precision 0.8139897873024807 [1,0.727273,1,0.761905,0.842105,0.9,0.470588,0.894737,0.952381,0.590909] precision 0.8584411027568922 [1,0.833333,1,0.904762,0.72,0.9,0.7,0.894737,1,0.631579] precision 0.8152991452991454 [1,0.75,1,0.9,0.833333,0.833333,0.55,0.730769,1,0.555556] precision 0.8579000084882438 [1,0.818182,1,0.944444,0.85,0.9,0.619048,0.909091,0.95,0.588235] precision 0.8349259512417407 [1,0.8,0.947368,0.904762,1,0.818182,0.578947,0.8,1,0.5] precision 0.8409481368304899 [1,0.714286,0.95,0.863636,0.882353,0.944444,0.571429,0.833333,1,0.65] precision 0.8526599514363683 [1,0.933333,0.952381,0.909091,0.941176,0.947368,0.473684,0.869565,1,0.5] precision 0.8082039337474121 [0.952381,0.761905,0.826087,1,0.933333,1,0.375,0.833333,1,0.4] predictive_accuracy 0.805 predictive_accuracy 0.805 predictive_accuracy 0.815 predictive_accuracy 0.855 predictive_accuracy 0.815 predictive_accuracy 0.86 predictive_accuracy 0.83 predictive_accuracy 0.835 predictive_accuracy 0.845 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 0.805 [0.95,0.85,0.95,0.9,0.85,1,0.3,0.85,0.9,0.5] recall 0.805 [1,0.75,0.95,0.9,0.6,0.9,0.45,0.85,0.95,0.7] recall 0.815 [1,0.8,0.95,0.8,0.8,0.9,0.4,0.85,1,0.65] recall 0.855 [1,0.75,0.95,0.95,0.9,0.9,0.7,0.85,0.95,0.6] recall 0.815 [1,0.6,0.9,0.9,0.75,1,0.55,0.95,1,0.5] recall 0.86 [1,0.9,1,0.85,0.85,0.9,0.65,1,0.95,0.5] recall 0.83 [1,0.8,0.9,0.95,0.7,0.9,0.55,1,1,0.5] recall 0.835 [1,0.75,0.95,0.95,0.75,0.85,0.6,1,0.85,0.65] recall 0.845 [1,0.7,1,1,0.8,0.9,0.45,1,1,0.6] recall 0.79 [1,0.8,0.95,0.85,0.7,0.9,0.45,1,0.85,0.4] relative_absolute_error 0.41072741390432227 relative_absolute_error 0.3989034993887075 relative_absolute_error 0.40926147663644385 relative_absolute_error 0.3917242567438109 relative_absolute_error 0.4071749873270107 relative_absolute_error 0.38433216160635864 relative_absolute_error 0.39844505852368256 relative_absolute_error 0.3955909898221549 relative_absolute_error 0.38248867263889896 relative_absolute_error 0.4104576580712989 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 0.1681392548981056 root_mean_squared_error 0.16873536050927523 root_mean_squared_error 0.16895884707233944 root_mean_squared_error 0.16043242436125368 root_mean_squared_error 0.1678771158134216 root_mean_squared_error 0.15788955553144615 root_mean_squared_error 0.16417245061735447 root_mean_squared_error 0.1628635745246839 root_mean_squared_error 0.1576214349604525 root_mean_squared_error 0.1708940609892437 root_relative_squared_error 0.5604641829936857 root_relative_squared_error 0.5624512016975844 root_relative_squared_error 0.5631961569077985 root_relative_squared_error 0.5347747478708459 root_relative_squared_error 0.559590386044739 root_relative_squared_error 0.5262985184381541 root_relative_squared_error 0.5472415020578485 root_relative_squared_error 0.5428785817489467 root_relative_squared_error 0.5254047832015086 root_relative_squared_error 0.569646869964146 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 32363.293064998288 usercpu_time_millis 31542.67452700151 usercpu_time_millis 31268.526061998273 usercpu_time_millis 31143.91124400572 usercpu_time_millis 30860.28136600362 usercpu_time_millis 32508.5810160017 usercpu_time_millis 31606.694100999448 usercpu_time_millis 32129.44856899412 usercpu_time_millis 33313.01975699898 usercpu_time_millis 30257.97459900059 usercpu_time_millis_testing 190.51935699826572 usercpu_time_millis_testing 231.848996001645 usercpu_time_millis_testing 189.52174500009278 usercpu_time_millis_testing 188.0053620043327 usercpu_time_millis_testing 222.8560910007218 usercpu_time_millis_testing 211.19580999948084 usercpu_time_millis_testing 192.97923900012393 usercpu_time_millis_testing 290.01128799427534 usercpu_time_millis_testing 214.30292000150075 usercpu_time_millis_testing 217.30163400206948 usercpu_time_millis_training 32172.773708000022 usercpu_time_millis_training 31310.825530999864 usercpu_time_millis_training 31079.00431699818 usercpu_time_millis_training 30955.90588200139 usercpu_time_millis_training 30637.425275002897 usercpu_time_millis_training 32297.38520600222 usercpu_time_millis_training 31413.714861999324 usercpu_time_millis_training 31839.437280999846 usercpu_time_millis_training 33098.71683699748 usercpu_time_millis_training 30040.67296499852