Journal of Analysis and Testing· 2018Q1
On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning
- 1,025citations
- Q1SCImago
- 2018year
Short summary
Data splitting method performance for estimating supervised model generalization varies significantly with dataset size; smaller datasets show a notable gap between validation and test set performance across all tested methods.
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