Figure 6From: Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designableROC curve for the Naïve Bayes classifier. Tripeptide segments are used to classify binary sequences folding to highly- and poorly-designable conformations of the hexagonal shape. The diagonal line y = x, which we would expect if we used a classifier that randomly guessed which class to assign to a sequence, has been added for clarification.Back to article page