Table 2 Summary statistics for the models discussed in the text
WAAC/PLS | WAAC/SVM | SVM | kNN | Random Forest | |
|---|---|---|---|---|---|
Training set | |||||
RMSE (°C) | 44.4 | 30.7 | 36.2 | 47.6 | 17.8 (44.7)* |
R2 | 0.52 | 0.77 | 0.68 | 0.44 | 0.92 (0.51)* |
bias (°C) | 0.0 | -1.6 | -2.3 | -3.4 | 0.0 |
Test set | |||||
RMSE (°C) | 46.6 | 45.1 | 43.9 | 48.3 | 44.5 |
R2 | 0.51 | 0.54 | 0.56 | 0.47 | 0.55 |
bias (°C) | -0.7 | -2.1 | -2.3 | -4.1 | -0.4 |
mean (°C) | 166.5 | 165.2 | 165.0 | 163.2 | 167.0 |
standard deviation (°C) | 47.1 | 51.6 | 49.3 | 49.5 | 41.0 |
Line of best fit through test set residuals | |||||
Slope | -0.49 | -0.43 | -0.44 | -0.49 | -0.53 |