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Award ID contains: 1921646

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  1. (, Statistical Analysis and Data Mining: The ASA Data Science Journal)
    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. 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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  2. ; ; ; (, The Annals of Applied Statistics)
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  3. ; ; ; (, Technometrics)
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  4. ; ; ; ; (, Journal of Quality Technology)
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  5. ; (, Statistical Analysis and Data Mining: The ASA Data Science Journal)
    null (Ed.)
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