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Support for these models was evaluated using Akaike Information Criteria.
Finally, the performance of the studied models was evaluated using sensitivity and risk analyses.
The predictive ability of the models was evaluated using Y-randomization test, cross-validation and external test set.
The performance of the models was evaluated using a non-dependent threshold method: the Receiver Operating Characteristic (ROC) curve.
The combination of hydrological and hydraulic models was evaluated using post-flood surveys defining maximum flooded area and flood depths.
The effectiveness of these models was evaluated using the root-mean-squared error (RMSE) and Nash Sutcliffe model efficiency coefficient (NSE).
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The developed estimation models are evaluated using different evaluation metrics.
Psychological evaluations cannot be performed directly in rats, and models are evaluated using only behavioral observations.
The relative fits of the two models were evaluated using the AIC.
Best-fit models were evaluated using jModeltest.
The models were evaluated using LOCOCV.
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