Figure 7From: Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designableROC curve for the Decision Tree (J48) classifier. Tripeptide segments are used to classify binary sequences folding to highly- and poorly-designable conformations for both the hexagonal and triangular shapes. The line x = y, expected for the random case is shown for comparison.Back to article page