OpenML

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 9 days 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: 0.9401, f_measure: 0.8899, kappa: 0.7798, kb_relative_information_score: 0.6384, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8908, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.297, root_relative_squared_error: 0.593, unweighted_recall: 0.8906,

Test Test 9 days 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: 0.9401, f_measure: 0.8899, kappa: 0.7798, kb_relative_information_score: 0.6384, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8908, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.297, root_relative_squared_error: 0.593, unweighted_recall: 0.8906,

Test Test 9 days 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: 0.9376, f_measure: 0.8899, kappa: 0.7801, kb_relative_information_score: 0.6498, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8927, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5952, unweighted_recall: 0.8913,

Test Test 9 days ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(24) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8416, kappa: 0.6798, kb_relative_information_score: 0.6785, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8417, number_of_instances: 14980, precision: 0.8416, predictive_accuracy: 0.8417, prior_entropy: 0.9924, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8001, unweighted_recall: 0.8397,

Test Test 9 days ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(2) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9479, kappa: 0.8861, kb_relative_information_score: 0.8432, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.141, weighted_recall: 0.9527, number_of_instances: 296, precision: 0.9528, predictive_accuracy: 0.9527, prior_entropy: 1.309, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3861,

Continuous Integration 9 days ago
ran flow TESTTEST04f8291a73sklearn.tree ... sses.DecisionTreeClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7448, kappa: 0.4317, kb_relative_information_score: 0.3586, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7487, number_of_instances: 768, precision: 0.7434, predictive_accuracy: 0.7487, prior_entropy: 0.9331, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8828, unweighted_recall: 0.71,

Continuous Integration 9 days ago
ran flow TESTTEST0f9fdfe930sklearn.naive_bayes.GaussianNB(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859, unweighted_recall: 0.7232,

Continuous Integration 9 days ago
ran flow TESTTEST7e3c23be13sklearn.naive_bayes.GaussianNB(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859, unweighted_recall: 0.7232,

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