Table 2 AUC and AUPR scores of AutoDTI ++ approach obtained under three prediction tasks (\({S}_{p}\), \({S}_{d}\), and \({S}_{t}\)) overall datasets (NR, GPCR, IC, and E) by 5 repeats of tenfold CV
From: AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
AutoDTI ++  | NR | GPCR | IC | E |
|---|---|---|---|---|
\(\bf \bf {S}_{p}\) | Â | Â | Â | Â |
AUPR | 0.84 | 0.85 | 0.90 | 0.82 |
AUC | 0.87 | 0.86 | 0.91 | 0.90 |
\(\bf \bf {S}_{d}\) | Â | Â | Â | Â |
AUPR | 0.62 | 0.47 | 0.50 | 0.33 |
AUC | 0.60 | 0.47 | 0.49 | 0.50 |
\(\bf \bf {S}_{t}\) | Â | Â | Â | Â |
AUPR | 0.84 | 0.83 | 0.86 | 0.77 |
AUC | 0.87 | 0.85 | 0.86 | 0.84 |