Optimal ratio for data splitting

🤖 Plain-English Summary

Abstract It is common to split a dataset into training and testing sets before fitting a statistical or machine learning model. However, there is no clear guidance on how much data should be used for training and testing.

🔑 Key Findings

• However, there is no clear guidance on how much data should be used for training and testing.
• In this article, we show that the optimal training/testing splitting ratio is , where is the number of parameters in a linear regression model that explains the data well.

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