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Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.623, kappa: 0.2505, kb_relative_information_score: 10.8281, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.6469, predictive_accuracy: 0.6406, prior_entropy: 0.994, recall: 0.6406, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9429,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8431, kappa: 0.6829, kb_relative_information_score: 42.7261, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.8442, predictive_accuracy: 0.8438, prior_entropy: 0.994, recall: 0.8438, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.79,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8909, kappa: 0.7813, kb_relative_information_score: 49.5267, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.895, predictive_accuracy: 0.8906, prior_entropy: 0.994, recall: 0.8906, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6658,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8438, kappa: 0.6847, kb_relative_information_score: 39.3499, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.8438, predictive_accuracy: 0.8438, prior_entropy: 0.994, recall: 0.8438, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7383,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9064, kappa: 0.8119, kb_relative_information_score: 51.8316, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.9084, predictive_accuracy: 0.9063, prior_entropy: 0.994, recall: 0.9063, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6151,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9064, kappa: 0.8119, kb_relative_information_score: 37.4063, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.9084, predictive_accuracy: 0.9063, prior_entropy: 0.994, recall: 0.9063, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6568,
Josep Pon Farreny 8 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(3) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7817, kappa: 0.5638, kb_relative_information_score: 35.6392, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.7882, predictive_accuracy: 0.7813, prior_entropy: 0.994, recall: 0.7813, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9395,
Josep Pon Farreny 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.827, kappa: 0.6501, kb_relative_information_score: 31.0258, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.8295, predictive_accuracy: 0.8281, prior_entropy: 0.994, recall: 0.8281, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7715,
Josep Pon Farreny 8 years ago
ran flow sklearn.svm.classes.SVC(4) on task Supervised Classification on data set dbworld-subjects
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.6302, kappa: 0.2765, kb_relative_information_score: 14.7183, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4957, number_of_instances: 64, precision: 0.6783, predictive_accuracy: 0.6563, prior_entropy: 0.994, recall: 0.6563, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8626,