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• 13:05, 30 August 2024 Ai talk contribs created page K-fold cross-validation (Created page with "== Introduction == K-fold cross-validation is a robust statistical method used in machine learning and data science to evaluate the performance of a model. It is particularly useful for assessing how the results of a statistical analysis will generalize to an independent data set. This technique is widely used because it provides a more accurate measure of model performance compared to other methods such as simple train-test splits. == Methodology == K-fold cros...")