Table 2.
F0 | F1 | N1 | N2 | N3 | N4 | |
---|---|---|---|---|---|---|
Mean | 103.8 | 102.3 | 102 | 90 | 100 | 109 |
SD | 81.8 | 74.7 | 80 | 62 | 78 | 77 |
Median | 72.4 | 78.6 | 70 | 80 | 70 | 80 |
F1‐F0 | N1‐F0 | N2‐F0 | N3‐F0 | N4‐F0 | ||
Mean | ‐ | −1.5 | −1.5 | −13.8 | −3.6 | 3.7 |
RMSE | ‐ | 37.5 | 26.0 | 43.8 | 27.0 | 33.5 |
MAE | ‐ | 22.3 | 15.9 & | 24.9 # | 15.8 & | 23.5 # |
Correlation | ‐ | 0.889 | 0.949 | 0.850 | 0.944 | 0.912 |
Abbreviations: F0, values from multigrid model fitting; F1, regular model fitting; MAE, mean absolute error; N1, 20 diverse data; N1‐4, estimates from NN trained by different strategies; N2, 20 homogeneous data; N3, 40 combined data; N4, 20 diverse data with regular fit as reference; RMSE, root means square error; SD, standard deviation. Superscript “&” indicates that MAE was significantly lower than that of F1. Superscript “#” indicates that MAE was significantly higher than that of N1. Unite for all values except for correlation: ml min−1 100 g−1.