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Continuous Integration 4 months ago
ran flow TEST4a060c8b8csklearn.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 4 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(5) 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 4 months ago
ran flow sklearn.model_selection._searc ... es.DecisionTreeClassifier))(1) 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 4 months ago
ran flow TEST56070cb2b8sklearn.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 4 months ago
ran flow TESTac041957e7sklearn.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,
Test Test 4 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7653, kappa: 0.4902, kb_relative_information_score: 0.3225, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7668, number_of_instances: 253, precision: 0.7645, predictive_accuracy: 0.7668, prior_entropy: 0.9463, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8376, unweighted_recall: 0.7422,
Continuous Integration 4 months ago
ran flow TEST13e8e7a5cdsklearn.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,