Table 5.

Independent dataset comparison of UbiComb with existing predictors.

Models	10-Fold Cross Validation		Independent
Predictor	ACC	F-Score	ACC	F-Score
UbPred	0.719	0.738	0.626	0.678
iUbiq-Lys	0.799	0.837	0.563	0.671
Ubisite	0.752	0.794	0.596	0.681
Deep Ub	0.683	0.703	0.674	0.687
DeepUbi	0.739	0.741	0.733	0.734
Wang et al.,	0.756	0.767	0.733	0.749
UbiComb	0.805	0.795	0.818	0.825

The UbiComb give the best results in terms of 10-fold cross-validation and independent results.