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that constitutes a compromise, as usual, between a bias term and a variance term.
Constraint (19) computes the variance term of efficiency under each scenario.
Expectedly, LOO-CV yielded a large variance term especially in case of MLR (Figure 2).
Large construction sets and thus small validation sets in the inner loop favoured models that are more complex, which in turn cause a large variance term.
In Equation (25) the mathematical sign in front of the variance term should be positive as in Equations (13) and (16).
The second variance term (left (sigma _{2}^{2}right)) in the error distribution allows uncertainty in ACD plot to increase with increasing forest height, as commonly observed.
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Expected value and variance terms of the model are indicated in Table 2.
Figure 2 Variance terms (TS-MLR, TS-PCR, simulation model 2).
As for numerical results related to the variance terms in Equations (48) and (49), they are obtained by Monte Carlo method.
The composition of the prediction error was first studied by decomposing it into bias and variance terms (ave.bias (ME ) and ave.var (ME ) ) as described previously.
Authors in [37] proposed an additive structure with multiple decision trees for mean vectors and a single tree for variance terms.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com