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Performance of Machine Learning Algorithms with Different K Values in K-fold CrossValidation

Isaac Kofi Nti; Owusu Nyarko‐Boateng; Justice Aning

International Journal of Information Technology and Computer Science · 2021 · Inggris · OpenAlex Scopus

The numerical value of k in a k-fold cross-validation training technique of machine learning predictive models is an essential element that impacts the model’s performance. A right choice of k results in better accuracy, while a poorly chosen value for k might affect the model’s performance. In…