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. 2022 Oct 24;13:1019491. doi: 10.3389/fpls.2022.1019491

Table 1.

Indicator of model.

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.