Table 4 Illustration of ML classifiers used for comparison.

From: Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates

Classifier

Tuned parameters

R Package

Decision trees33

maxsurrogate = 0, usesurrogate = 0

rpart

Neural network34

Size = 10, maxit = 100

nnet

Support vector machine35

kernel = "rbfdot", type = C-svc”

ksvm

adaBoost36

iter = 50, type = ”discrete”, nu = 0.5

ada

Random forest32

ntree = 500, mtry = 2

randomForest

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