8916697 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) 6853705 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 0.7538303073227836 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 19 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 18749026 description https://api.openml.org/data/download/18749026/description.xml -1 18749027 predictions https://api.openml.org/data/download/18749027/predictions.arff area_under_roc_curve 0.9728836111111111 [0.999606,0.957508,0.989917,0.976006,0.956747,0.988867,0.935022,0.989014,0.995,0.94115] average_cost 0 f_measure 0.7842286809915344 [0.97549,0.711217,0.910448,0.85347,0.713911,0.849873,0.514423,0.85782,0.9375,0.518135] kappa 0.76 kb_relative_information_score 1507.2149893495612 mean_absolute_error 0.0663789700614687 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7864590691816638 [0.956731,0.680365,0.905941,0.878307,0.751381,0.865285,0.49537,0.815315,0.978261,0.537634] predictive_accuracy 0.784 prior_entropy 3.321928094887362 recall 0.784 [0.995,0.745,0.915,0.83,0.68,0.835,0.535,0.905,0.9,0.5] relative_absolute_error 0.368772055897037 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1736856928475828 root_relative_squared_error 0.5789523094919338 total_cost 0 area_under_roc_curve 0.9757222222222224 [0.998889,0.958889,0.99,0.989167,0.956667,0.999444,0.925833,0.988333,0.993889,0.956111] area_under_roc_curve 0.9701666666666668 [0.998611,0.971111,0.9825,0.978889,0.928056,0.982222,0.946667,0.984722,0.99,0.938889] area_under_roc_curve 0.9662777777777778 [1,0.961389,0.999167,0.9525,0.951389,0.987778,0.894167,0.987778,1,0.928611] area_under_roc_curve 0.9786388888888888 [1,0.945,0.988889,0.991389,0.974444,0.994444,0.967222,0.990833,0.999167,0.935] area_under_roc_curve 0.9798611111111112 [1,0.955556,0.998611,0.99,0.978611,0.993056,0.951111,0.988611,0.998889,0.944167] area_under_roc_curve 0.9772777777777779 [0.999167,0.955,1,0.968333,0.981389,0.986944,0.941389,0.9925,0.995556,0.9525] area_under_roc_curve 0.9746388888888887 [0.999167,0.968889,0.975556,0.984444,0.979722,0.980556,0.956111,0.985,0.999167,0.917778] area_under_roc_curve 0.9710833333333333 [1,0.963611,0.998611,0.958889,0.915278,0.993889,0.9375,0.993611,0.9875,0.961944] area_under_roc_curve 0.9751944444444446 [1,0.9425,1,0.996111,0.974722,0.977222,0.925556,0.994167,1,0.941667] area_under_roc_curve 0.9637222222222221 [1,0.963056,0.973889,0.958333,0.927778,0.993889,0.903056,0.993889,0.986944,0.936389] 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 0.7919245706826685 [0.97561,0.755556,0.837209,0.857143,0.714286,0.974359,0.461538,0.810811,0.947368,0.585366] f_measure 0.7409556546912133 [0.926829,0.731707,0.8,0.820513,0.648649,0.717949,0.533333,0.809524,0.947368,0.473684] f_measure 0.7569763997235113 [1,0.666667,0.947368,0.736842,0.666667,0.780488,0.439024,0.820513,0.97561,0.536585] f_measure 0.7814720256391248 [1,0.666667,0.904762,0.926829,0.723404,0.833333,0.585366,0.8,0.974359,0.4] f_measure 0.7639456615318226 [0.97561,0.6,0.923077,0.878049,0.6875,0.818182,0.52381,0.826087,0.95,0.457143] f_measure 0.8027127399065184 [0.97561,0.682927,0.97561,0.789474,0.7,0.9,0.585366,0.930233,0.947368,0.540541] f_measure 0.7875462152953377 [0.952381,0.772727,0.864865,0.878049,0.764706,0.790698,0.6,0.818182,0.947368,0.486486] f_measure 0.8009983295207346 [1,0.666667,0.95,0.871795,0.722222,0.888889,0.488889,0.930233,0.857143,0.634146] f_measure 0.8159262252479554 [1,0.789474,0.97561,0.930233,0.789474,0.864865,0.388889,0.909091,1,0.511628] f_measure 0.7913014188250653 [0.952381,0.772727,0.926829,0.823529,0.722222,0.947368,0.521739,0.909091,0.810811,0.526316] kappa 0.7666666666666667 kappa 0.7111111111111111 kappa 0.7277777777777777 kappa 0.7611111111111112 kappa 0.7444444444444445 kappa 0.7833333333333334 kappa 0.7666666666666667 kappa 0.7722222222222223 kappa 0.7999999999999999 kappa 0.7666666666666667 kb_relative_information_score 149.89565650805616 kb_relative_information_score 147.1300499771372 kb_relative_information_score 145.07965929613826 kb_relative_information_score 152.10716907115423 kb_relative_information_score 153.3033619510719 kb_relative_information_score 153.1395681058747 kb_relative_information_score 150.83392097232058 kb_relative_information_score 153.1243511336619 kb_relative_information_score 155.4053274951461 kb_relative_information_score 147.1959248390012 mean_absolute_error 0.06789180654802517 mean_absolute_error 0.06808617764306049 mean_absolute_error 0.06931896032970962 mean_absolute_error 0.06458728642970582 mean_absolute_error 0.0652027171748423 mean_absolute_error 0.06462706431535897 mean_absolute_error 0.06704209206971053 mean_absolute_error 0.0637344278297599 mean_absolute_error 0.06353584887712621 mean_absolute_error 0.06976331939738764 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 0.8024273552982666 [0.952381,0.68,0.782609,1,0.681818,1,0.473684,0.882353,1,0.571429] precision 0.745660461313712 [0.904762,0.714286,0.8,0.842105,0.705882,0.736842,0.48,0.772727,1,0.5] precision 0.7607123870281766 [1,0.636364,1,0.777778,0.684211,0.761905,0.428571,0.842105,0.952381,0.52381] precision 0.7857833662438927 [1,0.684211,0.863636,0.904762,0.62963,0.9375,0.571429,0.8,1,0.466667] precision 0.7737661461345671 [0.952381,0.6,0.947368,0.857143,0.916667,0.75,0.5,0.730769,0.95,0.533333] precision 0.8033990987699429 [0.952381,0.666667,0.952381,0.833333,0.7,0.9,0.571429,0.869565,1,0.588235] precision 0.7962857198215254 [0.909091,0.708333,0.941176,0.857143,0.928571,0.73913,0.6,0.75,1,0.529412] precision 0.8185849678544186 [1,0.6,0.95,0.894737,0.8125,1,0.44,0.869565,1,0.619048] precision 0.817888350992571 [1,0.833333,0.952381,0.869565,0.833333,0.941176,0.4375,0.833333,1,0.478261] precision 0.8067466438789969 [0.909091,0.708333,0.904762,1,0.8125,1,0.461538,0.833333,0.882353,0.555556] predictive_accuracy 0.79 predictive_accuracy 0.74 predictive_accuracy 0.755 predictive_accuracy 0.785 predictive_accuracy 0.77 predictive_accuracy 0.805 predictive_accuracy 0.79 predictive_accuracy 0.795 predictive_accuracy 0.82 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 0.79 [1,0.85,0.9,0.75,0.75,0.95,0.45,0.75,0.9,0.6] recall 0.74 [0.95,0.75,0.8,0.8,0.6,0.7,0.6,0.85,0.9,0.45] recall 0.755 [1,0.7,0.9,0.7,0.65,0.8,0.45,0.8,1,0.55] recall 0.785 [1,0.65,0.95,0.95,0.85,0.75,0.6,0.8,0.95,0.35] recall 0.77 [1,0.6,0.9,0.9,0.55,0.9,0.55,0.95,0.95,0.4] recall 0.805 [1,0.7,1,0.75,0.7,0.9,0.6,1,0.9,0.5] recall 0.79 [1,0.85,0.8,0.9,0.65,0.85,0.6,0.9,0.9,0.45] recall 0.795 [1,0.75,0.95,0.85,0.65,0.8,0.55,1,0.75,0.65] recall 0.82 [1,0.75,1,1,0.75,0.8,0.35,1,1,0.55] recall 0.79 [1,0.85,0.95,0.7,0.65,0.9,0.6,1,0.75,0.5] relative_absolute_error 0.37717670304458467 relative_absolute_error 0.3782565424614476 relative_absolute_error 0.3851053351650539 relative_absolute_error 0.3588182579428106 relative_absolute_error 0.3622373176380132 relative_absolute_error 0.3590392461964392 relative_absolute_error 0.3724560670539478 relative_absolute_error 0.3540801546097776 relative_absolute_error 0.3529769382062571 relative_absolute_error 0.38757399665215403 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 0.17559235248678406 root_mean_squared_error 0.18380736055069152 root_mean_squared_error 0.18443777350102464 root_mean_squared_error 0.16932179567997435 root_mean_squared_error 0.16883029880644568 root_mean_squared_error 0.1673430213435303 root_mean_squared_error 0.1732836152500182 root_mean_squared_error 0.16814373177793732 root_mean_squared_error 0.1648406472506136 root_mean_squared_error 0.17995247912964066 root_relative_squared_error 0.5853078416226138 root_relative_squared_error 0.6126912018356387 root_relative_squared_error 0.6147925783367492 root_relative_squared_error 0.5644059855999148 root_relative_squared_error 0.5627676626881526 root_relative_squared_error 0.5578100711451013 root_relative_squared_error 0.5776120508333943 root_relative_squared_error 0.5604791059264581 root_relative_squared_error 0.5494688241687122 root_relative_squared_error 0.5998415970988025 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 48515.316811004595 usercpu_time_millis 47301.878996000596 usercpu_time_millis 46492.398328999116 usercpu_time_millis 48751.87939600073 usercpu_time_millis 48553.432135006005 usercpu_time_millis 49442.24476200179 usercpu_time_millis 49243.65109200153 usercpu_time_millis 48901.34439200119 usercpu_time_millis 48754.68765200276 usercpu_time_millis 50484.09530499703 usercpu_time_millis_testing 90.64507800212596 usercpu_time_millis_testing 89.1503120001289 usercpu_time_millis_testing 89.0796589992533 usercpu_time_millis_testing 87.7161980024539 usercpu_time_millis_testing 90.62136100328644 usercpu_time_millis_testing 126.04086600185838 usercpu_time_millis_testing 89.67354999913368 usercpu_time_millis_testing 89.6923450018221 usercpu_time_millis_testing 96.64963700197404 usercpu_time_millis_testing 89.69587100000354 usercpu_time_millis_training 48424.67173300247 usercpu_time_millis_training 47212.72868400047 usercpu_time_millis_training 46403.31866999986 usercpu_time_millis_training 48664.16319799828 usercpu_time_millis_training 48462.81077400272 usercpu_time_millis_training 49316.20389599993 usercpu_time_millis_training 49153.977542002394 usercpu_time_millis_training 48811.65204699937 usercpu_time_millis_training 48658.038015000784 usercpu_time_millis_training 50394.39943399702