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Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(Impu ... arn.naive_bayes.GaussianNB)(3) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(Impu ... rn.naive_bayes.GaussianNB)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
Continuous Integration 1 month ago
ran flow TESTa37d305619sklearn.pipeline ... es.DecisionTreeClassifier))(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 0.3291, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7422, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9331, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8588, unweighted_recall: 0.7033,
Continuous Integration 1 month ago
ran flow TEST04b4666d7csklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, unweighted_recall: 0.5,
Continuous Integration 1 month ago
ran flow TEST91e251a491sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, unweighted_recall: 0.5,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(Impu ... rn.naive_bayes.GaussianNB)(11) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(11) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow sklearn.model_selection._searc ... ee.DecisionTreeClassifier))(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(5) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow TEST0ad03a3e85sklearn.pipeline ... es.DecisionTreeClassifier))(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 0.3291, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7422, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9331, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8588, unweighted_recall: 0.7033,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(enc= ... st.RandomForestClassifier))(3) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9033, kappa: 0.806, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9032, number_of_instances: 1054, precision: 0.9039, predictive_accuracy: 0.9032, prior_entropy: 0.9969, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6513, unweighted_recall: 0.904,
Continuous Integration 1 month ago
ran flow TEST55c9546047sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.5268, kappa: -0.0201, kb_relative_information_score: -0.0713, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4589, weighted_recall: 0.5257, number_of_instances: 253, precision: 0.5279, predictive_accuracy: 0.5257, prior_entropy: 0.9463, relative_absolute_error: 1.0335, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.431, unweighted_recall: 0.4899,
Continuous Integration 1 month ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(11) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6913, kappa: 0.3202, kb_relative_information_score: 0.2932, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6914, number_of_instances: 768, precision: 0.6911, predictive_accuracy: 0.6914, prior_entropy: 0.9331, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655, unweighted_recall: 0.66,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... ee.DecisionTreeClassifier))(9) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6885, kappa: 0.317, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6875, number_of_instances: 768, precision: 0.6897, predictive_accuracy: 0.6875, prior_entropy: 0.9331, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728, unweighted_recall: 0.6596,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6958, kappa: 0.3317, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6953, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6953, prior_entropy: 0.9331, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581, unweighted_recall: 0.6664,
Continuous Integration 1 month ago
ran flow TEST09d2862ec1sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.5159, kappa: -0.0555, kb_relative_information_score: -0.0802, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.4589, weighted_recall: 0.5217, number_of_instances: 253, precision: 0.5113, predictive_accuracy: 0.5217, prior_entropy: 0.9463, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.437, unweighted_recall: 0.4728,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6989, kappa: 0.3397, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6979, number_of_instances: 768, precision: 0.7001, predictive_accuracy: 0.6979, prior_entropy: 0.9331, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1531, unweighted_recall: 0.671,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(Impu ... rn.naive_bayes.GaussianNB)(13) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6987, kappa: 0.342, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6966, number_of_instances: 768, precision: 0.7014, predictive_accuracy: 0.6966, prior_entropy: 0.9331, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1556, unweighted_recall: 0.6735,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 1 month ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 1 month ago
ran flow TESTe5b1c74d03sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.5076, kappa: -0.0601, kb_relative_information_score: -0.1159, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4589, weighted_recall: 0.5059, number_of_instances: 253, precision: 0.5093, predictive_accuracy: 0.5059, prior_entropy: 0.9463, relative_absolute_error: 1.0766, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4606, unweighted_recall: 0.4697,
Continuous Integration 1 month ago
ran flow sklearn.model_selection._searc ... ee.DecisionTreeClassifier))(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 1 month ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 1 month ago
ran flow TEST19f8e19904sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, unweighted_recall: 0.5,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(enc= ... t.RandomForestClassifier))(13) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9033, kappa: 0.806, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9032, number_of_instances: 1054, precision: 0.9039, predictive_accuracy: 0.9032, prior_entropy: 0.9969, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6513, unweighted_recall: 0.904,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(13) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow TESTe568e46214sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(13) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 1 month ago
ran flow TEST8c4277ca59sklearn.pipeline ... es.DecisionTreeClassifier))(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 0.3291, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7422, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9331, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8588, unweighted_recall: 0.7033,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(5) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(13) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow TEST9507f96a37sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.5381, kappa: 0.0031, kb_relative_information_score: -0.0445, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4589, weighted_recall: 0.5375, number_of_instances: 253, precision: 0.5386, predictive_accuracy: 0.5375, prior_entropy: 0.9463, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.68, root_relative_squared_error: 1.413, unweighted_recall: 0.5016,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(11) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow TESTc181872517sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4689, f_measure: 0.5051, kappa: -0.0613, kb_relative_information_score: -0.1248, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4589, weighted_recall: 0.502, number_of_instances: 253, precision: 0.5088, predictive_accuracy: 0.502, prior_entropy: 0.9463, relative_absolute_error: 1.0852, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4664, unweighted_recall: 0.4689,
Continuous Integration 1 month ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(13) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(5) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(11) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow TEST4012ef2ab0sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, unweighted_recall: 0.5,
Continuous Integration 1 month ago
ran flow TEST929b67e6d0sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6954, kappa: 0.3329, kb_relative_information_score: 0.2991, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, weighted_recall: 0.694, number_of_instances: 768, precision: 0.697, predictive_accuracy: 0.694, prior_entropy: 0.9331, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605, unweighted_recall: 0.668,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... ee.DecisionTreeClassifier))(9) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6944, kappa: 0.3283, kb_relative_information_score: 0.2991, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, weighted_recall: 0.694, number_of_instances: 768, precision: 0.6948, predictive_accuracy: 0.694, prior_entropy: 0.9331, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605, unweighted_recall: 0.6646,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(13) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6937, kappa: 0.3284, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6927, number_of_instances: 768, precision: 0.6949, predictive_accuracy: 0.6927, prior_entropy: 0.9331, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.163, unweighted_recall: 0.6653,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6913, kappa: 0.3202, kb_relative_information_score: 0.2932, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6914, number_of_instances: 768, precision: 0.6911, predictive_accuracy: 0.6914, prior_entropy: 0.9331, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655, unweighted_recall: 0.66,
Continuous Integration 1 month ago
ran flow TESTe1dcce549fsklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(13) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(13) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.702, kappa: 0.3443, kb_relative_information_score: 0.317, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7018, number_of_instances: 768, precision: 0.7021, predictive_accuracy: 0.7018, prior_entropy: 0.9331, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1456, unweighted_recall: 0.6723,
Continuous Integration 1 month ago
ran flow TEST200d04aa0esklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.5494, kappa: 0.0264, kb_relative_information_score: -0.0177, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4589, weighted_recall: 0.5494, number_of_instances: 253, precision: 0.5494, predictive_accuracy: 0.5494, prior_entropy: 0.9463, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.6713, root_relative_squared_error: 1.3948, unweighted_recall: 0.5132,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 1 month ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(3) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, kappa: 0.8684, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.141, weighted_recall: 0.9459, number_of_instances: 296, predictive_accuracy: 0.9459, prior_entropy: 1.309, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4082,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8174, kappa: 0.4141, kb_relative_information_score: 0.2406, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8276, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.8276, prior_entropy: 0.7318, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8667, unweighted_recall: 0.6869,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8716, kappa: 0.8652, kb_relative_information_score: 0.6572, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1212, weighted_recall: 0.878, number_of_instances: 500, precision: 0.8822, predictive_accuracy: 0.878, prior_entropy: 3.6489, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.649, unweighted_recall: 0.7782,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7684, kappa: 0.4826, kb_relative_information_score: 0.3178, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, unweighted_recall: 0.7325,
Continuous Integration 1 month ago
ran flow TESTe186b6b565sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
Test Test 1 month ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7676, kappa: 0.4928, kb_relative_information_score: 0.3101, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.767, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8454, unweighted_recall: 0.7407,
Test Test 1 month ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(7) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9923, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.141, weighted_recall: 0.9966, number_of_instances: 296, precision: 0.9967, predictive_accuracy: 0.9966, prior_entropy: 1.309, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.091,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 0.6208, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.87, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6219, unweighted_recall: 0.869,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 0.6098, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6375, unweighted_recall: 0.8817,
Test Test 1 month ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8456, kappa: 0.6878, kb_relative_information_score: 0.6865, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8456, number_of_instances: 14980, precision: 0.8455, predictive_accuracy: 0.8456, prior_entropy: 0.9924, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.79, unweighted_recall: 0.8438,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8899, kappa: 0.7799, kb_relative_information_score: 0.645, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8916, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5819, unweighted_recall: 0.8909,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 0.6073, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8691, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6161, unweighted_recall: 0.8687,
Test Test 1 month ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.8446, kappa: 0.6858, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8446, number_of_instances: 14980, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 0.9924, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7926, unweighted_recall: 0.8428,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8767, kappa: 0.7534, kb_relative_information_score: 0.5921, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.878, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6465, unweighted_recall: 0.8775,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(3) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8811, kappa: 0.762, kb_relative_information_score: 0.6149, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6325, unweighted_recall: 0.8814,
Test Test 1 month ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8456, kappa: 0.6878, kb_relative_information_score: 0.6866, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8457, number_of_instances: 14980, precision: 0.8456, predictive_accuracy: 0.8457, prior_entropy: 0.9924, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7899, unweighted_recall: 0.8436,
Test Test 1 month ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(3) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.957, kappa: 0.9034, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.141, weighted_recall: 0.9595, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.309, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4003,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8183, kappa: 0.4186, kb_relative_information_score: 0.2346, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8276, number_of_instances: 522, precision: 0.8145, predictive_accuracy: 0.8276, prior_entropy: 0.7318, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.8693, unweighted_recall: 0.6904,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.873, kappa: 0.8673, kb_relative_information_score: 0.6597, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1212, weighted_recall: 0.88, number_of_instances: 500, precision: 0.8855, predictive_accuracy: 0.88, prior_entropy: 3.6489, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.6465, unweighted_recall: 0.7826,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 0.3157, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, unweighted_recall: 0.7306,
Test Test 1 month ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 1 month ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(19) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7617, kappa: 0.4828, kb_relative_information_score: 0.3144, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7609, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.847, unweighted_recall: 0.7391,
Continuous Integration 1 month ago
ran flow TEST57f1a436c9sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Continuous Integration 1 month ago
ran flow TEST2718336d92sklearn.model_se ... =sklearn.svm._classes.SVC))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
Continuous Integration 1 month ago
ran flow TEST22686cea4csklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Continuous Integration 1 month ago
ran flow TEST939e69d2d5sklearn.model_se ... =sklearn.svm._classes.SVC))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
Continuous Integration 1 month ago
ran flow TEST29ee1841e6sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
Continuous Integration 1 month ago
ran flow TEST54f3569abbsklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 1 month ago
ran flow TEST9e76136c68sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
Continuous Integration 1 month ago
ran flow TEST29ee1841e6sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
Continuous Integration 1 month ago
ran flow TEST9e76136c68sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
Continuous Integration 1 month ago
ran flow TEST94beb36abfsklearn.linear_m ... odel._base.LinearRegression(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.1491, number_of_instances: 2178, root_mean_prior_squared_error: 0.1894,
Continuous Integration 1 month ago
ran flow TEST3ada31697fsklearn.model_se ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
Continuous Integration 1 month ago
ran flow TESTb0f030a2dcsklearn.model_se ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
Continuous Integration 1 month ago
ran flow TEST01faa43e60sklearn.model_se ... =sklearn.svm._classes.SVC))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
Continuous Integration 1 month ago
ran flow TEST4f37746dfbsklearn.pipeline ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
Continuous Integration 1 month ago
ran flow TEST3139521821sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7044, kappa: 0.356, kb_relative_information_score: 0.3108, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7075, number_of_instances: 253, precision: 0.7028, predictive_accuracy: 0.7075, prior_entropy: 0.9463, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, unweighted_recall: 0.6747,