Table 3.

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

Lip classes	SVM	WSVM	MAPLSC	Naïve Bayes	kNN
Deep-red	0.74 ± 0.02	0.74 ± 0.02	0.72 ± 0.02	0.73 ± 0.02	0.66 ± 0.02
Pale	0.64 ± 0.21	0.67 ± 0.20	0.56 ± 0.23	0.66 ± 0.20	0.59 ± 0.20
Purple	0.86 ± 0.02	0.87 ± 0.02	0.83 ± 0.02	0.85 ± 0.02	0.84 ± 0.02
Red	0.87 ± 0.01	0.89 ± 0.01	0.80 ± 0.02	0.87 ± 0.01	0.81 ± 0.02
TA	0.81 ± 0.01	0.82 ± 0.01	0.77 ± 0.01	0.81 ± 0.01	0.76 ± 0.01