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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: J Biophotonics. 2017 Oct 29;11(3):10.1002/jbio.201700078. doi: 10.1002/jbio.201700078

Table 2. Predictive performance of different classification models for ex vivo tongue cancer detection.

Classifier AUC Accuracy Sensitivity Specificity
Linear SVM 0.86±0.06 79%±6% 79%±7% 79%±5%
Ensemble LDA 0.86±0.06 79%±6% 78%±7% 79%±5%
LDA 0.86±0.06 78%±6% 78%±8% 80%±4%
Random Forest 0.84±0.08 77%±7% 77%±7% 77%±8%
QDA 0.82±0.05 76%±5% 76%±6% 75%±4%
RBF SVM 0.80±0.07 75%±7% 77%±9% 75%±8%
RUSBoost 0.79±0.12 71%±15% 80%±6% 69%±20%