Table 3

Performance comparison among machine learning 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


Che et al. BMC Genomics 2010 11(Suppl 2):S1   doi:10.1186/1471-2164-11-S2-S1

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