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The robustness of the obtained models evaluated using a Monte Carlo simulation approach for different uncertainty levels.
The best of 50 models, evaluated using the DOPE score [25] were selected for structural analysis.
Here, we propose two reconstruction-based models, evaluated using data from two tasks in immersive virtual reality.
We further evaluate existing ergonomic models by refitting coefficients of their component terms and addition of other terms in new predictive models derived from the present cohort, with subsequent comparisons of prediction accuracy between existing models and new models evaluated using 10-fold cross-validation [ 64].
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The robustness of the obtained optimal model evaluated using Monte Carlo simulations technique.
The best model, evaluated using 10-fold cross validation, achieved an AUC score of over 98%%.
Each model evaluated using the multimodel averaging method was adjusted for the year of test, gender and age.
To select the best model, all optimized models were evaluated using the Profile-3D program [ 54].
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 program was developed using a logic model and evaluated using program evaluation methodology.
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