[Retracted] Machine Learning-Based Ensemble Model for Zika Virus T-Cell Epitope Prediction

Table 5

Performance comparison of existing models with the proposed ensemble.

Model	Gini	Precision	F-score	AUC	Sensitivity	Specificity	Accuracy (%)
Random forest	0.905	0.963	0.958	0.952	0.953	0.921	94.29
Neural network	0.990	0.936	0.951	0.973	0.948	0.963	96.52
AdaBoost	0.988	0.985	0.963	0.994	0.942	0.972	95.24
Decision tree	0.987	0.972	0.972	0.993	0.972	0.938	96.19
SVM	0.912	0.979	0.975	0.995	0.972	0.956	96.67
Proposed ensemble model	0.993	0.989	0.985	0.994	0.976	0.959	97.13