8913147 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) 6850310 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 0.9599437093757148 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 5 7684 min_samples_split 19 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 18741958 description https://api.openml.org/data/download/18741958/description.xml -1 18741959 predictions https://api.openml.org/data/download/18741959/predictions.arff area_under_roc_curve 0.9787377777777778 [0.999917,0.969,0.993125,0.985244,0.971619,0.992886,0.941164,0.991817,0.99745,0.945156] average_cost 0 f_measure 0.7958471059608946 [0.97549,0.751843,0.919598,0.869565,0.716578,0.873449,0.512315,0.864608,0.943005,0.53202] kappa 0.7727777777777778 kb_relative_information_score 1549.8846854167182 mean_absolute_error 0.06302179509495913 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7978416249709959 [0.956731,0.73913,0.924242,0.890052,0.770115,0.866995,0.504854,0.823529,0.978495,0.524272] predictive_accuracy 0.7955 prior_entropy 3.321928094887362 recall 0.7955 [0.995,0.765,0.915,0.85,0.67,0.88,0.52,0.91,0.91,0.54] relative_absolute_error 0.35012108386087326 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16482097206131788 root_relative_squared_error 0.5494032402043845 total_cost 0 area_under_roc_curve 0.9792500000000001 [1,0.970833,0.990833,0.995278,0.966389,1,0.927222,0.993056,0.996944,0.951944] area_under_roc_curve 0.9780555555555556 [0.999444,0.973333,0.987778,0.984722,0.96,0.986667,0.951111,0.990833,0.994444,0.952222] area_under_roc_curve 0.9754722222222222 [1,0.976389,0.999444,0.970278,0.968889,0.993333,0.913611,0.991944,1,0.940833] area_under_roc_curve 0.9832777777777777 [1,0.962778,0.993056,0.993611,0.983889,0.994722,0.971389,0.993333,0.996111,0.943889] area_under_roc_curve 0.9814999999999999 [1,0.963333,0.998056,0.993889,0.983889,0.993889,0.950556,0.990833,0.999722,0.940833] area_under_roc_curve 0.9819166666666667 [1,0.974167,1,0.985,0.987778,0.9925,0.940556,0.992778,1,0.946389] area_under_roc_curve 0.9809444444444445 [1,0.976111,0.99,0.994444,0.985833,0.987778,0.961944,0.988056,1,0.925278] area_under_roc_curve 0.9796944444444446 [1,0.968889,0.9975,0.974444,0.954167,0.9975,0.95,0.996944,0.991389,0.966111] area_under_roc_curve 0.978638888888889 [1,0.955278,0.999722,0.996111,0.973889,0.986111,0.931111,0.993611,1,0.950556] area_under_roc_curve 0.9716944444444444 [1,0.974444,0.981667,0.966944,0.960833,0.995833,0.914444,0.993611,0.991944,0.937222] 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 0.7919382967939554 [0.97561,0.772727,0.837209,0.888889,0.714286,0.974359,0.461538,0.810811,0.947368,0.536585] f_measure 0.7500098047996103 [0.95,0.744186,0.842105,0.85,0.588235,0.780488,0.473684,0.790698,0.947368,0.533333] f_measure 0.7718059271064017 [1,0.714286,0.947368,0.736842,0.648649,0.809524,0.439024,0.842105,0.97561,0.604651] f_measure 0.8294281070125716 [0.97561,0.736842,0.926829,0.926829,0.765957,0.894737,0.684211,0.820513,0.947368,0.615385] f_measure 0.7641336474263302 [0.97561,0.666667,0.918919,0.878049,0.606061,0.844444,0.5,0.844444,0.95,0.457143] f_measure 0.8025722690600143 [0.952381,0.8,1,0.789474,0.717949,0.878049,0.536585,0.930233,0.947368,0.473684] f_measure 0.8038614130733347 [0.97561,0.782609,0.894737,0.923077,0.787879,0.857143,0.540541,0.863636,0.974359,0.439024] f_measure 0.8032806560713537 [1,0.714286,0.95,0.85,0.702703,0.833333,0.533333,0.930233,0.918919,0.6] f_measure 0.8434533872916414 [1,0.787879,0.97561,0.952381,0.842105,0.923077,0.473684,0.888889,1,0.590909] f_measure 0.7919528237175296 [0.952381,0.8,0.904762,0.888889,0.764706,0.95,0.488889,0.909091,0.810811,0.45] kappa 0.7666666666666667 kappa 0.7222222222222222 kappa 0.7444444444444445 kappa 0.8111111111111111 kappa 0.7444444444444445 kappa 0.7833333333333334 kappa 0.7833333333333334 kappa 0.7777777777777778 kappa 0.8277777777777777 kappa 0.7666666666666667 kb_relative_information_score 154.5392018735798 kb_relative_information_score 152.46904694754153 kb_relative_information_score 152.6802043805074 kb_relative_information_score 156.4376908293249 kb_relative_information_score 155.08428946231987 kb_relative_information_score 157.09872507834268 kb_relative_information_score 156.34239404138972 kb_relative_information_score 155.51733452379816 kb_relative_information_score 158.07778319499718 kb_relative_information_score 151.6380150849136 mean_absolute_error 0.06350961837796416 mean_absolute_error 0.06465591623719999 mean_absolute_error 0.0648797987613064 mean_absolute_error 0.06143276649637509 mean_absolute_error 0.06360531251203666 mean_absolute_error 0.061003378138651386 mean_absolute_error 0.06217968657161777 mean_absolute_error 0.06291109670118147 mean_absolute_error 0.05995471742471881 mean_absolute_error 0.06608565972853993 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 0.8004987838696952 [0.952381,0.708333,0.782609,1,0.681818,1,0.473684,0.882353,1,0.52381] precision 0.7579861973775017 [0.95,0.695652,0.888889,0.85,0.714286,0.761905,0.5,0.73913,1,0.48] precision 0.7773264246410027 [1,0.681818,1,0.777778,0.705882,0.772727,0.428571,0.888889,0.952381,0.565217] precision 0.8346700083542187 [0.952381,0.777778,0.904762,0.904762,0.666667,0.944444,0.722222,0.842105,1,0.631579] precision 0.7724631771737036 [0.952381,0.684211,1,0.857143,0.769231,0.76,0.458333,0.76,0.95,0.533333] precision 0.8029783946031085 [0.909091,0.8,1,0.833333,0.736842,0.857143,0.52381,0.869565,1,0.5] precision 0.8163156717723281 [0.952381,0.692308,0.944444,0.947368,1,0.818182,0.588235,0.791667,1,0.428571] precision 0.8133589281562427 [1,0.681818,0.95,0.85,0.764706,0.9375,0.48,0.869565,1,0.6] precision 0.8539395838080048 [1,1,0.952381,0.909091,0.888889,0.947368,0.5,0.8,1,0.541667] precision 0.8056984975808505 [0.909091,0.8,0.863636,1,0.928571,0.95,0.44,0.833333,0.882353,0.45] predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.83 predictive_accuracy 0.77 predictive_accuracy 0.805 predictive_accuracy 0.805 predictive_accuracy 0.8 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 0.79 [1,0.85,0.9,0.8,0.75,0.95,0.45,0.75,0.9,0.55] recall 0.75 [0.95,0.8,0.8,0.85,0.5,0.8,0.45,0.85,0.9,0.6] recall 0.77 [1,0.75,0.9,0.7,0.6,0.85,0.45,0.8,1,0.65] recall 0.83 [1,0.7,0.95,0.95,0.9,0.85,0.65,0.8,0.9,0.6] recall 0.77 [1,0.65,0.85,0.9,0.5,0.95,0.55,0.95,0.95,0.4] recall 0.805 [1,0.8,1,0.75,0.7,0.9,0.55,1,0.9,0.45] recall 0.805 [1,0.9,0.85,0.9,0.65,0.9,0.5,0.95,0.95,0.45] recall 0.8 [1,0.75,0.95,0.85,0.65,0.75,0.6,1,0.85,0.6] recall 0.845 [1,0.65,1,1,0.8,0.9,0.45,1,1,0.65] recall 0.79 [1,0.8,0.95,0.8,0.65,0.95,0.55,1,0.75,0.45] relative_absolute_error 0.3528312132109124 relative_absolute_error 0.3591995346511115 relative_absolute_error 0.3604433264517026 relative_absolute_error 0.3412931472020842 relative_absolute_error 0.3533628472890929 relative_absolute_error 0.3389076563258414 relative_absolute_error 0.3454427031756547 relative_absolute_error 0.3495060927843419 relative_absolute_error 0.33308176347066043 relative_absolute_error 0.36714255404744445 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 0.16557573788523403 root_mean_squared_error 0.17174573408641644 root_mean_squared_error 0.17095723258881068 root_mean_squared_error 0.1606261308357658 root_mean_squared_error 0.16619406960724498 root_mean_squared_error 0.159601147254464 root_mean_squared_error 0.1618305800915889 root_mean_squared_error 0.16161012525806887 root_mean_squared_error 0.1581246199761848 root_mean_squared_error 0.17122242031545265 root_relative_squared_error 0.5519191262841138 root_relative_squared_error 0.5724857802880552 root_relative_squared_error 0.5698574419627026 root_relative_squared_error 0.5354204361192196 root_relative_squared_error 0.5539802320241503 root_relative_squared_error 0.532003824181547 root_relative_squared_error 0.5394352669719633 root_relative_squared_error 0.5387004175268966 root_relative_squared_error 0.527082066587283 root_relative_squared_error 0.5707414010515092 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 42271.83132199934 usercpu_time_millis 42299.69163799797 usercpu_time_millis 41775.71836199968 usercpu_time_millis 42287.545434001004 usercpu_time_millis 42556.881025999246 usercpu_time_millis 42515.110554000785 usercpu_time_millis 42543.44886299987 usercpu_time_millis 42401.755020000564 usercpu_time_millis 42315.98832200143 usercpu_time_millis 42192.04474499929 usercpu_time_millis_testing 88.2680069989874 usercpu_time_millis_testing 89.21616399857157 usercpu_time_millis_testing 90.53709399995569 usercpu_time_millis_testing 93.09053600009065 usercpu_time_millis_testing 93.52220499931718 usercpu_time_millis_testing 92.00687900010962 usercpu_time_millis_testing 88.92555000056745 usercpu_time_millis_testing 89.44586100005836 usercpu_time_millis_testing 90.23632400021597 usercpu_time_millis_testing 87.8397029991902 usercpu_time_millis_training 42183.563315000356 usercpu_time_millis_training 42210.475473999395 usercpu_time_millis_training 41685.181267999724 usercpu_time_millis_training 42194.45489800091 usercpu_time_millis_training 42463.35882099993 usercpu_time_millis_training 42423.103675000675 usercpu_time_millis_training 42454.5233129993 usercpu_time_millis_training 42312.309159000506 usercpu_time_millis_training 42225.751998001215 usercpu_time_millis_training 42104.2050420001