The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.
We propose a new criterion for model selection in prediction problems. The covariance inflation criterion adjusts the training error by the average covariance of the ...
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