Table 2. Macrel achieves accuracy comparable to the state-of-art in hemolytic peptides classification.

Models implemented by Chaudhary et al. (2016) were generically called HemoPI-1 due to the datasets used in the training and benchmarking (the best values per column are in bold).

Method	Acc.	Sp.	Sn.	Pr.	MCC	Reference
HemoPI-1C,SVM*	0.95	0.95	0.96	0.95	0.91	Chaudhary et al. (2016)
HemoPI-1H*	0.95	0.95	0.96	0.95	0.91	Chaudhary et al. (2016)
HemoPI-1C,IBK*	0.95	0.94	0.96	0.94	0.89	Chaudhary et al. (2016)
HemoPI-1C,RF*	0.94	0.95	0.94	0.95	0.89	Chaudhary et al. (2016)
Macrel	0.94	0.96	0.92	0.96	0.88	This study
HemoPI-1C,Log*	0.94	0.94	0.93	0.94	0.87	Chaudhary et al. (2016)
HemoPI-1C,MP*	0.93	0.93	0.94	0.93	0.87	Chaudhary et al. (2016)
HemoPI-1C,JK48*	0.89	0.88	0.90	0.89	0.78	Chaudhary et al. (2016)

Note:

^*These data were retrieved from the original article.