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 used | MAE of SFS for | MSE score of SFS for | LR | KNN | RF | ANN | LR | KNN | RF | ANN |
| 1. | Without | 0.35 | 0.35 | 0.37 | 0.36 | 0.20 | 0.17 | 0.20 | 0.20 | 2. | T + C + S | 0.30 | 0.28 | 0.29 | 0.31 | 0.15 | 0.09 | 0.11 | 0.15 | 3. | T + C | 0.31 | 0.30 | 0.30 | 0.33 | 0.16 | 0.12 | 0.12 | 0.16 | 4. | T + S | 0.32 | 0.32 | 0.31 | 0.35 | 0.18 | 0.11 | 0.12 | 0.17 | 5. | C + S | 0.31 | 0.31 | 0.30 | 0.33 | 0.17 | 0.11 | 0.11 | 0.15 | 6. | T | 0.33 | 0.31 | 0.35 | 0.35 | 0.16 | 0.15 | 0.15 | 0.18 | 7. | C | 0.32 | 0.34 | 0.32 | 0.34 | 0.15 | 0.16 | 0.13 | 0.17 | 8. | S | 0.34 | 0.33 | 0.334 | 0.33 | 0.19 | 0.14 | 0.17 | 0.18 |
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