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How Cross-Validation Can Go Wrong and What to Do About It

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  • Neunhoeffer, Marcel
  • Sternberg, Sebastian

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Suggested Citation

  • Neunhoeffer, Marcel & Sternberg, Sebastian, 2019. "How Cross-Validation Can Go Wrong and What to Do About It," Political Analysis, Cambridge University Press, vol. 27(1), pages 101-106, January.
    • Handle: RePEc:cup:polals:v:27:y:2019:i:01:p:101-106_00
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    Cited by:

    1. Shu-Ling Lin & Xiao Jin, 2023. "Does ESG Predict Systemic Banking Crises? A Computational Economics Model of Early Warning Systems with Interpretable Multi-Variable LSTM based on Mixture Attention," Mathematics, MDPI, vol. 11(2), pages 1-15, January.
    2. Hofman, Jake M. & Goldstein, Daniel G. & Sen, Siddhartha & Poursabzi-Sangdeh, Forough & Allen, Jennifer & Dong, Ling Liang & Fried, Brenda & Gaur, Harpreet & Hoq, Adnan & Mbazor, Emeka & Moreira, Naom, 2021. "Expanding the scope of reproducibility research through data analysis replications," Organizational Behavior and Human Decision Processes, Elsevier, vol. 164(C), pages 192-202.
    3. Xianglong Liu, 2023. "Towards Better Banking Crisis Prediction: Could an Automatic Variable Selection Process Improve the Performance?," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 288-312, June.

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