Figure 7.

Dot-plot comparing the accuracy and Cohen’s Kappa values of the different classification models applied to biomechanical (blue squares) and morphometric (red dots) data. The dots represent the average accuracy and Cohen’s Kappa values after performing the ‘leave-group-out’ cross-validation (200 repeats), while the whiskers display their respective 0.95 confidence level. Model acronyms: RF, random forest; LDA, linear discriminant analysis; KNN, k-nearest neighbours; SVM, support vector machine; NB, Naive Bayes; CART, classification and regression trees. (Online version in colour.)