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Maja Franz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, kappa: 0.5247, kb_relative_information_score: 73.1963, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9714,
Rafael Rego Drumond 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7914, kappa: 0.5784, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7914, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
Randolf Scholz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7932, kappa: 0.5817, kb_relative_information_score: 8695.3014, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9924, recall: 0.7934, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9139,
Joaquin Vanschoren 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7992, kappa: 0.5938, kb_relative_information_score: 8873.993, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9924, recall: 0.7993, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9008,