8917002 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) 6854005 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 0.12120286729941032 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 17 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 18749634 description https://api.openml.org/data/download/18749634/description.xml -1 18749635 predictions https://api.openml.org/data/download/18749635/predictions.arff area_under_roc_curve 0.9826522222222223 [1,0.977269,0.997414,0.994367,0.978858,0.994306,0.946428,0.992694,0.998622,0.946564] average_cost 0 f_measure 0.8284424961212894 [0.997494,0.795918,0.942928,0.910448,0.823834,0.904645,0.526042,0.874704,0.972431,0.53598] kappa 0.8111111111111111 kb_relative_information_score 1468.1841487481897 mean_absolute_error 0.07863374671013441 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8279810891311771 [1,0.8125,0.935961,0.905941,0.854839,0.885167,0.548913,0.829596,0.974874,0.53202] predictive_accuracy 0.83 prior_entropy 3.321928094887362 recall 0.83 [0.995,0.78,0.95,0.915,0.795,0.925,0.505,0.925,0.97,0.54] relative_absolute_error 0.43685414838962217 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17004633971428362 root_relative_squared_error 0.5668211323809367 total_cost 0 area_under_roc_curve 0.9803055555555555 [1,0.978611,0.995278,0.995833,0.966944,1,0.914444,0.993056,0.999444,0.959444] area_under_roc_curve 0.9796388888888888 [1,0.969444,0.996111,0.986111,0.964444,0.992778,0.950278,0.989167,0.995833,0.952222] area_under_roc_curve 0.9818611111111113 [1,0.980556,1,0.991111,0.988056,0.994167,0.923889,0.991667,1,0.949167] area_under_roc_curve 0.98775 [1,0.984167,0.997222,0.997778,0.993333,0.994722,0.973889,0.994444,0.997778,0.944167] area_under_roc_curve 0.9833888888888888 [1,0.970556,0.998333,0.993333,0.9925,0.994167,0.952222,0.994167,1,0.938611] area_under_roc_curve 0.9847777777777778 [1,0.9775,1,0.994722,0.9925,0.995278,0.945556,0.994722,0.999722,0.947778] area_under_roc_curve 0.9836111111111111 [1,0.977778,0.994722,0.997778,0.979722,0.982778,0.973611,0.989722,1,0.94] area_under_roc_curve 0.9861666666666667 [1,0.9775,0.998611,0.9975,0.970278,0.9975,0.960556,0.995278,0.998889,0.965556] area_under_roc_curve 0.9824722222222222 [1,0.980556,1,0.998056,0.982778,0.990278,0.943056,0.996111,1,0.933889] area_under_roc_curve 0.9790555555555556 [1,0.984444,0.990556,0.998889,0.956944,0.999722,0.932222,0.993056,0.993333,0.941389] 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 0.8070565942302217 [0.974359,0.85,0.883721,0.947368,0.857143,1,0.285714,0.842105,0.97561,0.454545] f_measure 0.7877321754945124 [1,0.777778,0.926829,0.878049,0.666667,0.809524,0.5,0.790698,0.95,0.577778] f_measure 0.8136911227411869 [1,0.731707,0.974359,0.780488,0.829268,0.9,0.473684,0.871795,0.97561,0.6] f_measure 0.8549906191369607 [1,0.769231,0.974359,0.926829,0.8,0.9,0.717949,0.871795,0.974359,0.615385] f_measure 0.8053655259565727 [1,0.666667,0.947368,0.878049,0.810811,0.888889,0.540541,0.808511,1,0.512821] f_measure 0.863093985025949 [1,0.9,0.97561,0.894737,0.871795,0.926829,0.619048,0.952381,0.95,0.540541] f_measure 0.8271807494189131 [1,0.780488,0.923077,0.926829,0.823529,0.857143,0.585366,0.888889,1,0.486486] f_measure 0.8532440336612352 [1,0.8,0.97561,0.952381,0.810811,0.871795,0.615385,0.909091,0.947368,0.65] f_measure 0.863731044087046 [1,0.842105,1,0.97561,0.894737,0.95,0.486486,0.930233,1,0.55814] f_measure 0.8041339724950197 [1,0.829268,0.857143,0.947368,0.864865,0.95,0.4,0.883721,0.95,0.358974] kappa 0.788888888888889 kappa 0.7666666666666667 kappa 0.7944444444444444 kappa 0.8388888888888889 kappa 0.788888888888889 kappa 0.85 kappa 0.8111111111111111 kappa 0.8388888888888889 kappa 0.85 kappa 0.7833333333333334 kb_relative_information_score 145.5373603913133 kb_relative_information_score 146.6478643187513 kb_relative_information_score 145.04739435583843 kb_relative_information_score 147.96563327607385 kb_relative_information_score 144.82942535107654 kb_relative_information_score 149.04338555558522 kb_relative_information_score 147.61185072885732 kb_relative_information_score 148.52422117204384 kb_relative_information_score 149.68868105408467 kb_relative_information_score 143.2883325445673 mean_absolute_error 0.08054367636742348 mean_absolute_error 0.07813022780378376 mean_absolute_error 0.08046812923844306 mean_absolute_error 0.07777272566303664 mean_absolute_error 0.08020912702722112 mean_absolute_error 0.07665873922788598 mean_absolute_error 0.0779860414600449 mean_absolute_error 0.07803610257446375 mean_absolute_error 0.0758976652473 mean_absolute_error 0.08063503249174284 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 0.8085538615973398 [1,0.85,0.826087,1,0.818182,1,0.333333,0.888889,0.952381,0.416667] precision 0.7931262469414644 [1,0.875,0.904762,0.857143,0.75,0.772727,0.5625,0.73913,0.95,0.52] precision 0.81328320802005 [1,0.714286,1,0.761905,0.809524,0.9,0.5,0.894737,0.952381,0.6] precision 0.8577393483709272 [1,0.789474,1,0.904762,0.72,0.9,0.736842,0.894737,1,0.631579] precision 0.8107750585614362 [1,0.75,1,0.857143,0.882353,0.8,0.588235,0.703704,1,0.526316] precision 0.8634559437810211 [1,0.9,0.952381,0.944444,0.894737,0.904762,0.590909,0.909091,0.95,0.588235] precision 0.8333057242035571 [1,0.761905,0.947368,0.904762,1,0.818182,0.571429,0.8,1,0.529412] precision 0.855347392545535 [1,0.8,0.952381,0.909091,0.882353,0.894737,0.631579,0.833333,1,0.65] precision 0.8656430398246254 [1,0.888889,1,0.952381,0.944444,0.95,0.529412,0.869565,1,0.521739] precision 0.806339010744718 [1,0.809524,0.818182,1,0.941176,0.95,0.4,0.826087,0.95,0.368421] predictive_accuracy 0.81 predictive_accuracy 0.79 predictive_accuracy 0.815 predictive_accuracy 0.855 predictive_accuracy 0.81 predictive_accuracy 0.865 predictive_accuracy 0.83 predictive_accuracy 0.855 predictive_accuracy 0.865 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 0.81 [0.95,0.85,0.95,0.9,0.9,1,0.25,0.8,1,0.5] recall 0.79 [1,0.7,0.95,0.9,0.6,0.85,0.45,0.85,0.95,0.65] recall 0.815 [1,0.75,0.95,0.8,0.85,0.9,0.45,0.85,1,0.6] recall 0.855 [1,0.75,0.95,0.95,0.9,0.9,0.7,0.85,0.95,0.6] recall 0.81 [1,0.6,0.9,0.9,0.75,1,0.5,0.95,1,0.5] recall 0.865 [1,0.9,1,0.85,0.85,0.95,0.65,1,0.95,0.5] recall 0.83 [1,0.8,0.9,0.95,0.7,0.9,0.6,1,1,0.45] recall 0.855 [1,0.8,1,1,0.75,0.85,0.6,1,0.9,0.65] recall 0.865 [1,0.8,1,1,0.85,0.95,0.45,1,1,0.6] recall 0.805 [1,0.85,0.9,0.9,0.8,0.95,0.4,0.95,0.95,0.35] relative_absolute_error 0.4474648687079087 relative_absolute_error 0.43405682113213245 relative_absolute_error 0.4470451624357953 relative_absolute_error 0.4320706981279818 relative_absolute_error 0.44560626126234004 relative_absolute_error 0.42588188459936704 relative_absolute_error 0.43325578588913877 relative_absolute_error 0.4335339031914658 relative_absolute_error 0.42165369581833384 relative_absolute_error 0.4479724027319052 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 0.17324235802573928 root_mean_squared_error 0.17338267502470106 root_mean_squared_error 0.1725565788802884 root_mean_squared_error 0.16630932475707844 root_mean_squared_error 0.17402129596270302 root_mean_squared_error 0.16441308800821522 root_mean_squared_error 0.16876707028258253 root_mean_squared_error 0.16759264782445568 root_mean_squared_error 0.1636681380607722 root_mean_squared_error 0.17600168034253955 root_relative_squared_error 0.5774745267524646 root_relative_squared_error 0.5779422500823372 root_relative_squared_error 0.5751885962676284 root_relative_squared_error 0.5543644158569285 root_relative_squared_error 0.5800709865423438 root_relative_squared_error 0.548043626694051 root_relative_squared_error 0.5625569009419421 root_relative_squared_error 0.5586421594148526 root_relative_squared_error 0.5455604602025744 root_relative_squared_error 0.5866722678084655 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 11503.642481002316 usercpu_time_millis 11497.836094000377 usercpu_time_millis 11470.710759989743 usercpu_time_millis 11471.413475999725 usercpu_time_millis 11379.4104730041 usercpu_time_millis 11534.472097999242 usercpu_time_millis 11431.389417004539 usercpu_time_millis 11457.38138199522 usercpu_time_millis 11525.426702995901 usercpu_time_millis 11501.655260995904 usercpu_time_millis_testing 97.33187899837503 usercpu_time_millis_testing 93.19763499661349 usercpu_time_millis_testing 96.88519699557219 usercpu_time_millis_testing 106.19315299845766 usercpu_time_millis_testing 94.77409600367537 usercpu_time_millis_testing 94.47014799661702 usercpu_time_millis_testing 94.70287300064228 usercpu_time_millis_testing 97.40219199738931 usercpu_time_millis_testing 100.88237399759237 usercpu_time_millis_testing 97.50022599473596 usercpu_time_millis_training 11406.310602003941 usercpu_time_millis_training 11404.638459003763 usercpu_time_millis_training 11373.82556299417 usercpu_time_millis_training 11365.220323001267 usercpu_time_millis_training 11284.636377000425 usercpu_time_millis_training 11440.001950002625 usercpu_time_millis_training 11336.686544003896 usercpu_time_millis_training 11359.97918999783 usercpu_time_millis_training 11424.544328998309 usercpu_time_millis_training 11404.155035001168