Table 1.
Error terms | Model accuracy | Reference |
---|---|---|
Pearson coefficient (R) | Closest to unity (more accurate) | Bosi et al. (2020); Rahimi-Moghaddam et al., 2021 |
Index of agreement (d) | unsatisfactory (d ≤ 0.75), satisfactory (0.75< d ≤ 0.85), good (0.85< d ≤ 0.95) and very good (d > 0.95) | Willmott (1981); Bosi et al. (2020) |
Normalized root mean square error (NRMSE) | NRMSE=0 (higher accuracy of the model) | Rahimi-Moghaddam et al., 2021 |
Root mean square error (RMSE) | RMSE ~ 5 (good for days to 50% flowering); RMSE ~ 0.5t/ha (good for seed yield); RMSE=1.5t/ha (good for biomass) | Kirkegaard et al. (2016); Robertson and Lilley (2016) |
Nash Sutchiffe model efficiency coefficient (ME) | unsatisfactory (NSE ≤ 0.5), satisfactory (0.5< NSE ≤ 0.65), good (0.65< NSE ≤ 0.75) and very good (NSE > 0.75) | Moriasi et al. (2007) |
Lin’s concordance correlation coefficient (CCC) | ideal = 1, lower values indicate bias from the y = x line | Lake et al. (2021) |
Adapted from Gomes et al. (2020) with modification.