arXiv
Open Access
2022
Optimal Ratio for Data Splitting
V. Roshan Joseph
Abstrak
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 splitting ratio is $\sqrt{p}:1$, where $p$ is the number of parameters in a linear regression model that explains the data well.
Penulis (1)
V
V. Roshan Joseph
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2022
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- arXiv
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- Open Access ✓