Table 4.
Validation analysis of the full final model vs. the basic model
Predictor | ||||
---|---|---|---|---|
Cmin | Cmax | |||
Final | Basic | Final | Basic | |
Bias | ||||
Mean prediction error (me) | 1.03 (−0.18, 2.25)* | 3.85 (2.15, 5.54) | 1.54 (−0.37, 3.46) | 1.83 (−0.30, −3.98) |
Precision | ||||
Root mean squared prediction error (rmse) | 4.06 (3.17, 4.79) | 6.68 (4.52, 8.55) | 6.37 (4.80, 7.63) | 7.17 (5.17, 8.72) |
Values given are point estimate and 95% confidence interval (parentheses).