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Cross-Validation - Why use 10 fold cross-validation?
Answer
Among the many benefits of K-fold cross-validation for predictive analytics is its ability to reduce performance estimate variation while simultaneously enabling the utilization of additional data for training purposes. By subjecting your model to new data subsets, it also aids in avoiding overfitting.
