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What is meant by overfitting?
What is cross-validation?
Cross-validation is a technique where we split our dataset into multiple smaller subsets, or folds. We train our model on a few of these folds and validate it on the remaining folds. We then repeat this process for each combination of folds, so that every data point is both trained on and validated on exactly once. This helps to give us a more accurate estimate of the model's performance and prevents overfitting.