Fig. 5.

Classification Tree Visualization for Torsion Angles. Orange Classification Trees used phosphorylation changes attributed to structural changes. A. Single-parent trees with the greatest percentage are used for accuracy. ψ36 separates structures into active and inactive classes with 100% accuracy B. Limited branching (2 layers) tree shows greater than 80% classifiers consideration. φ328 divides a subset of data into active and inactive classes with 89.3% accuracy and needs a second torsional angle to classify the data accurately. C. More torsional angles (4 angles) are needed to classify the data with high accuracy. However, even with the additional angles, complete classification is not reached. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)