All RF models containing PLEC were trained and evaluated on the 5 cross-validation sets with the LORO scheme using a gradually increasing number of UMAP dimensions. As shown in Figure , the performance of all models increases progressively with the number of UMAP dimensions, and around 40D reaches a plateau. Therefore, in all subsequent computations, the PLEC fingerprint was reduced with UMAP from 8192 to 40 features.