Confusion matrices obtained from SVM (left) and DT (right) by using different feature sets (sections a-f).

<p>The classification precision and recall values are shown for each class in all the tables. The cells are colored in order to indicate the classification precision for each class. Overall classification accuracy and Kappa values are shown below each confusion matrix. Although SVM generally outperforms DT, once both movement and morphology features are integrated, the results are very much comparable (section e and f).