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Table 4 Comparison of the performance of the three methods for facial palsy classification

From: paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification

 

LAC-based

LAC-based

ERT-based GRFE

 

KPFE

GRFE

(our approach)

Sensitivity

85.15%

91.09%

97.48%

Specificity

85.12%

88.10%

94.91%

AUC

89.81%

95.01%

97.48%