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Continuous Integration 2 months ago
ran flow TESTc87c7e870asklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=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 2 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 2 months ago
ran flow TEST0085a94c92sklearn.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 2 months 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 2 months 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 2 months ago
ran flow TESTc25a4b7c35sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(10) 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 2 months 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 2 months ago
ran flow TESTa841c518a3sklearn.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 2 months ago
ran flow TEST956bf64ffasklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST21d90a6c98sklearn.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 2 months ago
ran flow TESTd9ae0e5778sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TESTd239b6b103sklearn.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 2 months ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(14) 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 2 months ago
ran flow TEST28a120b87asklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST096b38b898sklearn.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 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(14) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow TESTa66b0bec23sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(14) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months 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 2 months 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: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(14) 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 2 months 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 2 months 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 2 months ago
ran flow TEST778d16ac4bsklearn.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 2 months ago
ran flow TESTdf60d2ec14sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST8da6deeb45sklearn.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 2 months ago
ran flow TEST0a149b1481sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(16) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... t.RandomForestClassifier))(12) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(16) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow TESTe92552217fsklearn.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 2 months ago
ran flow TESTee14735d20sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months 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: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months 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: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(15) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(1) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... t.RandomForestClassifier))(14) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(15) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow TESTb381fc329asklearn.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 2 months ago
ran flow TEST13f0cc516csklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... rn.naive_bayes.GaussianNB)(14) 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 2 months ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(15) 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 2 months 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 2 months ago
ran flow TEST62b8c12c8bsklearn.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 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... t.RandomForestClassifier))(11) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... t.RandomForestClassifier))(16) 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 2 months ago
ran flow TEST548485f978sklearn.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 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(4) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... t.RandomForestClassifier))(15) 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 2 months ago
ran flow TEST64ce6dd16dsklearn.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 2 months ago
ran flow TESTba4491c41asklearn.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,
Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.764, kappa: 0.4853, kb_relative_information_score: 0.3087, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7668, number_of_instances: 253, precision: 0.7632, predictive_accuracy: 0.7668, prior_entropy: 0.9463, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.841, unweighted_recall: 0.7376,
Test Test 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7668, kappa: 0.4803, kb_relative_information_score: 0.3117, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8388, unweighted_recall: 0.7331,
Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.8697, kappa: 0.865, kb_relative_information_score: 0.6666, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1212, weighted_recall: 0.878, number_of_instances: 500, precision: 0.8831, predictive_accuracy: 0.878, prior_entropy: 3.6489, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.158, root_relative_squared_error: 0.6421, unweighted_recall: 0.775,
Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.8295, kappa: 0.4491, kb_relative_information_score: 0.2394, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, weighted_recall: 0.841, number_of_instances: 522, precision: 0.8278, predictive_accuracy: 0.841, prior_entropy: 0.7318, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.8649, unweighted_recall: 0.6989,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(4) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6876, kappa: 0.3159, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6862, number_of_instances: 768, precision: 0.6893, predictive_accuracy: 0.6862, prior_entropy: 0.9331, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, unweighted_recall: 0.6594,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.689, kappa: 0.3193, 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: 0.6909, 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: 0.6613,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7008, kappa: 0.342, kb_relative_information_score: 0.3141, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7005, number_of_instances: 768, precision: 0.701, predictive_accuracy: 0.7005, prior_entropy: 0.9331, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.1481, unweighted_recall: 0.6713,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.6961, kappa: 0.3329, 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: 0.6969, 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: 0.6673,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6947, kappa: 0.3295, 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: 0.6954, 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: 0.6654,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(14) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(6) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(3) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(2) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(4) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(14) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(6) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(2) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(3) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(4) 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 2 months ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(15) 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 2 months ago
ran flow TESTbbc74109e1sklearn.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 2 months ago
ran flow TEST49d38bc5e6sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST4a1867cffdsklearn.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 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(10) 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 2 months ago
ran flow TEST2105fe792asklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(15) 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 2 months ago
ran flow TEST74f1018803sklearn.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 2 months ago
ran flow TESTb35fd98ffcsklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(1) 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 2 months ago
ran flow TESTe2301e0c84sklearn.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 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(14) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 2 months ago
ran flow TESTb4abfb1a41sklearn.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 2 months ago
ran flow TEST5162742042sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST2cdf88d4eesklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST3c8b61cb41sklearn.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 2 months ago
ran flow TEST952085e59csklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(10) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(2) 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 2 months ago
ran flow TESTcbbdbee43esklearn.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 2 months ago
ran flow TEST41303cf91csklearn.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 2 months ago
ran flow TESTf1157652eesklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TESTff5990ae93sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 2 months ago
ran flow TEST63662c5cbasklearn.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 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7665, kappa: 0.4949, kb_relative_information_score: 0.3132, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7668, number_of_instances: 253, precision: 0.7663, predictive_accuracy: 0.7668, prior_entropy: 0.9463, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8437, unweighted_recall: 0.7469,