On the internal set, very small differences are observed across methods, with no single model consistently outperforming the others on every metric (Friedman test, α = 0.05). DeepCocrystal performs marginally better than the rest in minimizing false positives (as visible from Precision and Specificity), and Fingerprint-DNN has a marginally better global performance (Balanced Accuracy) and identification of true positives (Recall).