To compare the models herein generated in a more global context, the cross-validated predictions for each optimized model were stored and used to compute single point performance metrics in the context of each target, being BA, F1 score, and Mathews correlation coefficient (MMC). Summary results of the fifteen models' performance are summarized in Table , and their distribution across the 55 epigenetic targets is shown in Figure . Overall, most of the models performed well in the single-target prediction task, having a mean BA and F1 score higher than 0.5 and mean MCC higher than zero. To identify the global best performing model, we applied Wilcoxon signed-rank tests between all pairs of models for the three metrics of performance. Each test involves a comparison between sets of 55 values.