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Test Test 4 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) 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 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: 0.8217, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 0.3071, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8436, unweighted_recall: 0.7198,
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: 0.826, f_measure: 0.7692, kappa: 0.4853, kb_relative_information_score: 0.3118, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8385, unweighted_recall: 0.7351,
Test Test 4 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) 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,
Continuous Integration 4 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: 0.7953, 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 4 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: 0.7953, 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,
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: 0.8226, f_measure: 0.7627, kappa: 0.471, kb_relative_information_score: 0.3076, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, unweighted_recall: 0.7284,
Continuous Integration 4 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: 0.6672, f_measure: 0.6951, kappa: 0.3318, 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: 0.6965, 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: 0.6672,
Continuous Integration 4 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: 0.6607, f_measure: 0.6906, kappa: 0.3203, kb_relative_information_score: 0.2902, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6901, number_of_instances: 768, precision: 0.6912, predictive_accuracy: 0.6901, prior_entropy: 0.9331, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1679, unweighted_recall: 0.6607,