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Table 3 Criteria used to evaluate the performance of the models

From: Estimating the productive potential of five natural forest types in northeastern China

\( \overline{E} \)

RMSE

MEF

\( \frac{\sum_{i=1}^n\left({y}_i-{\hat{y}}_i\right)}{n} \)

\( \sqrt{\frac{\sum_{i=1}^n{\left({y}_i-{\hat{y}}_i\right)}^2}{n-p}} \)

\( 1-\frac{\left(n-1\right){\sum}_{i=1}^n{\left({y}_i-{\hat{y}}_i\right)}^2}{\left(n-p\right){\sum}_{i=1}^n{\left({y}_i-{\overline{y}}_i\right)}^2} \)

  1. yi, \( {\hat{y}}_i \), and \( {\overline{y}}_i \) are the observed, predicted, and average values of the dependent variable, respectively; n is the number of samples used in fitting the function; and p indicates the number of model parameters