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</html><description>Description: Cross-validation is a statistical method used to evaluate the generalization ability of a predictive model. Its main goal is to estimate how the results of an analysis will apply to an independent dataset, which is crucial for avoiding overfitting. In this approach, the dataset is divided into multiple subsets or &#x2018;folds&#x2019;. The model is [&hellip;]</description></oembed>
