# Predictive Approach to Model Selection and Validation in Statistical Learning Networks

### Abstract

*The best model selection and the validation of the model are key issues in any model-building process. The present paper summarizes the results from international research done in Europe, Australia, and most recently in the United States. It discusses the model selection and validation in deep neural networks based on their prediction errors and provides some insights how to improve their accuracy in a very cost-effective way.*

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