TABLE 4.
Summary of models predicting mean ratings from audio features.
| Rating | Model type | R 2 | Average R2 | Average RMSE |
| Raspy/Grainy/Rough | RF | 0.82 | 0.78 | 0.47 |
| PLSR | 0.64 | 0.56 | 0.70 | |
| Harsh/Noisy | RF | 0.56 | 0.54 | 0.69 |
| PLSR | 0.43 | 0.28 | 0.93 | |
| Airy/Breathy | RF | 0.45 | 0.43 | 0.78 |
| PLSR | 0.36 | 0.29 | 0.89 | |
| Exertion | RF | 0.34 | 0.32 | 0.84 |
| PLSR | 0.14 | 0.09 | 1.08 | |
| Valence | RF | 0.68 | 0.67 | 0.59 |
| PLSR | 0.56 | 0.52 | 0.72 |
R2 values are calculated from models run on the entire dataset (trained using 10-fold cross validation repeated three times). Average R2 values are a measure of predictive relevance representing test R2 averages across the fivefold cross validation process. RMSE is also averaged across the fivefold.