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Cross-validation is a statistical technique for evaluating predictive models by repeatedly partitioning datasets into training and test folds; it reduces overfitting and provides more reliable performance estimates. Different strategies (k‑fold, stratified, time‑series split) address data characteristics and bias. Applying it requires choosing a validation s…
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