Table 3.

Performances of ensemble methods and best individual feature-based models

Feature	Recall	Precision	ACC	F	AUC	AUPR
Markov	0.502	0.501	0.963	0.482	0.882	0.486
PWM	0.516	0.471	0.960	0.472	0.871	0.467
DN	0.546	0.442	0.957	0.469	0.883	0.453
SP	0.513	0.513	0.963	0.494	0.882	0.487
LREM	0.529	0.537	0.965	0.515	0.904	0.532
GAEM	0.482	0.541	0.965	0.493	0.891	0.512