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K-Fold Cross-Validation - What is the effect of k-fold cross-validation?
Answer
K-fold cross-validation allows for more data to be utilized for training and reduces the variation of the performance estimate, two of the many advantages it offers for predictive analytics. By subjecting your model to a variety of data subsets, it also helps avoid overfitting.
