Research Article

Machine Learning-Based Facial Beauty Prediction and Analysis of Frontal Facial Images Using Facial Landmarks and Traditional Image Descriptors

Table 7

Ablation study of MAE and MSE score for various models.

S. No.Features usedMAE of SFS forMSE score of SFS for
LRKNNRFANNLRKNNRFANN

1.Without0.350.350.370.360.200.170.200.20
2.T + C + S0.300.280.290.310.150.090.110.15
3.T + C0.310.300.300.330.160.120.120.16
4.T + S0.320.320.310.350.180.110.120.17
5.C + S0.310.310.300.330.170.110.110.15
6.T0.330.310.350.350.160.150.150.18
7.C0.320.340.320.340.150.160.130.17
8.S0.340.330.3340.330.190.140.170.18