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Question

Cross-Validation - Why use 10 fold cross-validation?

Answer

K-fold cross-validation has several advantages for predictive analytics, such as reducing the variance of the performance estimate and allowing you to use more data for training. It also helps you avoid overfitting, as it exposes your model to different subsets of the data.