Before revision:  Furthermore, this overfitting can be detected and avoided through cross-validation in which the GMRQ is evaluated for the purpose of model selection on data that was held out during training .
After revision:  This overfitting can be detected and avoided through cross-validation in which the GMRQ is evaluated for the purpose of model selection on data that was held out during training .