However, employing an extensive feature set needs careful consideration. It increases the risk of overfitting, leading to a reduced number of PSMs identified when cross-validation is applied within Percolator. Because overfitting is especially an issue when a small dataset is used, which is common in immunopeptidomics because fewer PSMs are identified compared to standard proteomics, carefully considering the features used in the PSM rescoring pipeline is especially relevant.