Table 2.

Accuracy of lip image classification using SVM, WSVM, kNN,MAPLSC and Naive Bayes on the features selected by SVM-RFE (mean ± variance)

Lip classes	SVM	WSVM	MAPLSC	Naïve Bayes	kNN
Deep-red	0.81 ± 0.02	0.72 ± 0.02	0.69 ± 0.02	0.72 ± 0.03	0.72 ± 0.02
Pale	0.71 ± 0.16	0.65 ± 0.21	0.70 ± 0.22	0.67 ± 0.20	0.43 ± 0.22
Purple	0.89 ± 0.02	0.88 ± 0.02	0.90 ± 0.01	0.85 ± 0.02	0.88 ± 0.02
Red	0.86 ± 0.01	0.86 ± 0.01	0.82 ± 0.02	0.88 ± 0.02	0.78 ± 0.02
TA	0.84 ± 0.01	0.81 ± 0.01	0.79 ± 0.01	0.81 ± 0.05	0.77 ± 0.01