Table 4.

The Scoring power of the regression SFs developed by the Online Prediction module

Model	Rpa	RMSEb
TopBP	0.861	1.65
TopBP-ML	0.848	1.74
TopBP-DL	0.848	1.64
ALL-SVM	0.831	1.23
EIC-Score	0.828	1.75
KDEEP	0.82	1.27
ΔvinaRF20	0.816	–
FREE-SVM	0.815	1.32
RI-Score	0.815	1.85
TNet-BP	0.81	1.34
Pafnucy	0.78	1.42
FFT-BP	0.747	–
X-Score	0.613	–

^aRp represents Pearson correlation coefficient (Rp)

^bRMSE represents the root-mean-square error