Validation of metamodels in simulation: a new metric

@article{Hamad2010ValidationOM,
  title={Validation of metamodels in simulation: a new metric},
  author={Husam Hamad},
  journal={Engineering with Computers},
  year={2010},
  volume={27},
  pages={309-317}
}
Metamodels are used to provide more efficient predictions than the underlying simulation models do, but at the price of reduced prediction accuracy. Statistics used to quantify this prediction accuracy include the root-mean square error (RMSE), the coefficient of determination R-square, and the average absolute error (AAE). Such statistics depend on the average prediction accuracy over the validation sample; i.e., these metrics are sensitive to the size of the validation sample. This article… CONTINUE READING

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