What is cross-validation, and why is it preferred over a simple train-test split? Explain k-fold cross-validation and when you would use different values of k.

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Cross-validation is a resampling technique used to evaluate machine learning models and tune hyperparameters. It provides more reliable performance estimates than a single train-test split by using the data more efficiently.