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

Table 4

Machine-learning classifiers were used in the current study.

Sr. no.	Classifier	R package	Tuned parameters
01	Decision trees [35]	rpart	maxsurrogate = 0, usesurrogate = 0
02	Neural network [36]	nnet	Size = 10, maxit = 100
03	Support vector machine [37]	ksvm	kernel = “rbfdot,” type = C-svc”
04	AdaBoost [38]	ada	Iter = 50, type = “discrete,” nu = 0.5
05	Random forest [39]	randomForest	ntree = 500, mtry = 2