Regarding the algorithm used within the clustering strategy and FP encoding, DL and LR appear technically tied at a BEDROC(20) around 0.53 (Table ). LR outperforms DL in terms of AUC (0.84 versus 0.74), but falls behind in the early recognition metrics pAUC(5%) (0.015 versus 0.017), BEDROC(100) (0.55 versus 0.72) and other metrics such as Cohen's Kappa (0.360 versus 0.445) and F1 score (0.36 versus 0.68). In agreement with previous studies, the AUC appears misleading for early recognition. Despite the tie between LR and DL, the alternative metrics favor DL and is therefore preferred over LR by a small margin.