WTT was performed for each descriptor using R, and the p-value was extracted. Features that did not show statistical significance between means (p > 0.05) were eliminated. Second, recursive feature elimination (RFE) was performed. This iterative feature selection method builds a predictive model using the entire set of descriptors and calculates its importance score (Figure ).