Feature selection and ablation results for machine learning models and our network.
| Model | All features | Excluding V component | Excluding U component | Excluding chromaticity component | Excluding brightness component | Excluding target bit rate |
|---|---|---|---|---|---|---|
| Decision Tree | 7.880 | 7.767 | 7.706 | 6.631 | 8.782 | 58.495 |
| Random Forest | 2.655 | 2.841 | 2.840 | 3.044 | 3.882 | 49.978 |
| AdaBoost | 7.865 | 7.439 | 7.666 | 7.684 | 11.070 | 36.897 |
| Bagging | 3.288 | 3.533 | 3.538 | 3.812 | 4.919 | 51.176 |
| Ours | 1.064 | 1.659 | 1.872 | 2.497 | 1.913 | 36.284 |
| Model | All features | Excluding V component | Excluding U component | Excluding chromaticity component | Excluding brightness component | Excluding target bit rate |
|---|---|---|---|---|---|---|
| Decision Tree | 7.880 | 7.767 | 7.706 | 6.631 | 8.782 | 58.495 |
| Random Forest | 2.655 | 2.841 | 2.840 | 3.044 | 3.882 | 49.978 |
| AdaBoost | 7.865 | 7.439 | 7.666 | 7.684 | 11.070 | 36.897 |
| Bagging | 3.288 | 3.533 | 3.538 | 3.812 | 4.919 | 51.176 |
| 1.064 | 1.659 | 1.872 | 2.497 | 1.913 | 36.284 |
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