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The stability of the model and accuracy of the parameters were assessed by a bootstrap method implemented in Wings for Nonmem [ 18] and diagnostic graphics and distribution statistics were obtained using R for Nonmem [ 18] via the R program [ 19].
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To increase the generalizability of the models and accuracy of the predictions, we used a feature selection method to reduce the number of variables used in each model.
Potential barriers to their usefulness in public health settings include the spatial and temporal resolution of models and accuracy of prediction.
The outputs of any model are limited by the validity of the model assumptions and accuracy of the parameter estimates.
Conditions of the model validity and accuracy are determined.
However, model performance and accuracy metrics of the calibration dataset were less satisfactory.
This indicates a high level of model validation and accuracy.
MPE and MAPE are measures of overall model bias and accuracy respectively.
Model quality and accuracy was assessed using determination coefficient R[ 25].
Model selection and accuracy estimation were performed using a 2-level cross-validation strategy available from Partek.
One specific application of NetKO is the simple validation of model completeness and accuracy on the genome-scale.
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CEO of Professional Science Editing for Scientists @ prosciediting.com