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K-Fold Cross-Validation - How does k-fold cross-validation prevent overfitting?


One common method for detecting and avoiding overfitting is K-fold cross-validation. This technique involves dividing the data points into k equal subgroups, the 'folds.' The other subsets are utilized for model training, while one is designated as the testing set.