Cross-validation is a widely-used technique to estimate prediction error, but its behavior complex and not fully understood. Ideally, one would like think that cross-validation estimates the error for model at hand, fit training data. We prove this case linear by ordinary least squares; rather it average of models on other unseen sets drawn from same population. further show phenomenon occurs m...