Figure 7
From: Reciprocal perspective as a super learner improves drug-target interaction prediction (MUSDTI)
Experimental results over the DeepDTA-defined datasets when incrementally incorporating reciprocal perspective component models compared to the SOTA DeepDTA models. The top-performing combined models were circled in the figure (top-20 models) and the first (top-10 models) represent the performance of the proposed MUSDTI model even when the later combined models represent a marginally higher performance. We opted for the component model ensemble that represented the plateaued performance of component models.
