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Table 3 Performance comparison among machine learning algorithms

From: Classification of genomic islands using decision trees and their ensemble algorithms

Method Sensitivity Specificity F-Measure Accuracy AUC
CART 0.813 0.807 0.811 0.810 0.855
Naive Bayesian 0.589 0.893 0.710 0.743 0.811
BayesianNet 0.604 0.914 0.727 0.760 0.839
J48 0.858 0.843 0.850 0.850 0.892
Logistic 0.628 0.893 0.738 0.762 0.845
Neural Network 0.659 0.849 0.742 0.754 0.833
SVM 0.565 0.902 0.695 0.735 0.734