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. Author manuscript; available in PMC: 2012 Sep 30.
Published in final edited form as: J Neurosci Methods. 2011 Jul 27;201(1):196–203. doi: 10.1016/j.jneumeth.2011.06.027

Table 1.

Selecting the strongest baseline classification method using novelty preference (NP) as the only input variable. LR: logistic regression, SVM: Support Vector Machines and NB: Naïve Bayes.

Classification Algorithm Accuracy Sensitivity Specificity AUC
LR 0.667 0.6 0.734 0.667
SVM 0.657 0.604 0.71 0.657
NB 0.637 0.6 0.675 0.637