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Cross-fitting is a sample-splitting technique used to eliminate overfitting bias; the basic procedure is to randomly divide the data into K folds, and for each fold use the remaining K-1 folds of data to train the model, then compute the prediction or estimator on the held-out fold.
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10/16/2026
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