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The RMSE of the final models was relatively low for all variables apart from stand density.
The interpretation of the final models is very difficult to validate by existing neuropsychological theories.
The overall quality of the final models was assessed by MolProbility and PROCHECK.
Similarly, three of the final models, M55, M59, and M63, are shown in Figure 3.
The contribution and functional form of each variable in both of the final models were examined through partial response functions.
Accuracy and efficiency of the final models in all three setting were good and similar to each other.
Table 4 HLM results of the fixed and random effects of the final models Variables Indonesia Malaysia Thailand Coef.
Thus implemented models consist of the final models produced by fuzzy logic modeling using Gaussian and Generalize Bell membership functions.
the accuracy of the final models and of the physiological scores was calculated using the area under the receiver operating characteristics curve (AU-ROC).
Antagonistic muscle activity did not remain in any of the final models, as no significant effect was observed with its inclusion.
Selection of the final models then depended on studies of model statistics such as Mallow's Cp and Akaike information criterion (AIC), residual analysis and correlation analysis.
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