Table 8 N. pumilio simple model selection results. For formulae of models SM1-SM16, see Table 12. Prediction statistic refers to the cross-validation (CV)-based prediction accuracy
Model | Uncertainty of the parameter estimates | Goodness-of-fit statistics | Prediction statistic | ||
|---|---|---|---|---|---|
PRSE (%) | MAE | RMSE | R2 | RMSE (CV) | |
SM1 NP | 7.01 | 2.812 | 3.613 | 0.625 | 3.608 |
SM2 NP | 6.54 | 2.821 | 3.634 | 0.621 | 3.631 |
SM3 NP | 6.60 | 2.823 | 3.638 | 0.620 | 3.636 |
SM4 NP | 8.29 | 2.828 | 3.638 | 0.620 | 3.636 |
SM5 NP | 11.20 | 2.966 | 3.714 | 0.604 | 3.706 |
SM6 NP | 12.10 | 2.843 | 3.62 | 0.624 | 3.614 |
SM7 NP | 6.49 | 2.82 | 3.63 | 0.622 | 3.627 |
SM8 NP | 88.39 | 2.819 | 3.611 | 0.626 | 3.613 |
SM9 NP | 15.21 | 2.908 | 3.729 | 0.601 | 3.736 |
SM10 NP | 25.14 | 2.846 | 3.635 | 0.621 | 3.640 |
SM11 NP | 25.02 | 2.849 | 3.632 | 0.621 | 3.637 |
SM12 NP | 11.78 | 2.871 | 3.686 | 0.610 | 3.691 |
SM13 NP | 87.02 | 2.828 | 3.612 | 0.626 | 3.615 |
SM14 NP | 27.89 | 2.822 | 3.605 | 0.627 | 3.608 |
SM15 NP | 53.16 | 2.812 | 3.614 | 0.625 | 3.617 |
SM16 NP | 38.49 | 2.825 | 3.616 | 0.625 | 3.620 |