Table 5 Results in terms of accuracy and other performance metrics.

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

Model

Accuracy (%)

AUC

Gini

Sensitivity

Specificity

MCC

Decision tree

96.01

0.973

0.969

0.961

0.963

0.921

Neural network

93.98

0.943

0.938

0.956

0.951

0.918

SVM

95.78

0.962

0.946

0.972

0.966

0.896

adaBoost

96.32

0.978

0.939

0.969

0.982

0.901

RandomForest

96.21

0.971

0.976

0.949

0.949

0.927

Proposed model

97.89

0.984

0.981

0.987

0.974

0.948

Back to article page