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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 2.

Classification performance compared to the novelty preference baseline. Asterisks indicate statistical significance over the Baseline method with p-value < 0.001. LR: logistic regression, SVM: Support Vector Machine, NP: novelty preference, SO: saccade orientation, RF: re-fixations, FD: fixation duration.

Method Features Accuracy Sensitivity Specificity AUC
Baseline NP 0.667 0.6 0.734 0.667
LR NP + SO + RF + FD 0.71 0.712 0.707 0.71
SVM NP + SO + RF + FD 0.869* (+30%) 0.967* (+61%) 0.772* (+5%) 0.869* (+30%)