Data Science MCQs MCQ: In k-fold cross-validation, if you choose a higher value of k (e.g., k = 10), what effect does it have on the model evaluation process? | Extra Education

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In k-fold cross-validation, if you choose a higher value of k (e.g., k = 10), what effect does it have on the model evaluation process?

Correct Answer: It reduces the risk of overfitting

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Data Science MCQs MCQ: In k-fold cross-validation, if you choose a higher value of k (e.g., k = 10), what effect does it have on the model evaluation process? | Extra Education