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The performance and test–retest reliability of regression models.
| Method | r | RMSE | R2 | Reliability | |
|---|---|---|---|---|---|
| Model1 | GPR | 0.44** | 1.10 | 0.17 | 0.67 |
| Model2 | RF | 0.20** | 1.20 | 0.01 | 0.56 |
“r” is the Pearson's correlation coefficient between predicted values and true values (**p < 0.01), and “RMSE” is the root mean square error. R2 is the proportion of the variance in the response variable that can be explained by the predictor variables in the model. GPR, Gaussian process regression; RF, random forest.
