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Cross-Validation (CV) - Model validation technique used to evaluate how good a predictive model will perform in practice. It splits data [multiple times] in different places so the predictive model doesn't guide exclusively on one piece of data and [decreasing] the risk of overfitting making [the model] more reliable.
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