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. 2022 Apr 1;13:796422. doi: 10.3389/fpsyg.2022.796422

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.