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Accurate data-driven prediction does not mean high reproducibility

A valid machine model is predictive, but a predictive model may not be valid. The gap between these two can be larger than many practitioners may expect.

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Fig. 1: Accuracy versus validity.


  1. Nat. Genet. 51, 1 (2019).

  2. Runge, J. et al. Nat. Commun. 10, 2553 (2019).

    Article  Google Scholar 

  3. Hussein, A. A. et al. Br. J. Cancer 119, 724–736 (2018).

    Article  Google Scholar 

  4. Tam, V. et al. Nat. Rev. Genet. 20, 467–484 (2019).

    Article  Google Scholar 

  5. Lewis, R. A., Rao, J. M. & Reiley, D. H. in Proc. 20th International Conference on World Wide Web 157–166 (ACM, 2011).

  6. Pearl, J. Causality: Models, Reasoning, and Inference (Cambridge Univ. Press, 2009).

  7. Imbens, G. W. & Rubin, D. B. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (Cambridge Univ. Press, 2015).

  8. Reichstein, M. et al. Nature 566, 195–204 (2019).

    Article  Google Scholar 

  9. Hill, A. B. Proc. R. Soc. Med. 58, 295–300 (1965).

    Google Scholar 

  10. Pearl, J. Commun. ACM 62, 54–60 (2019).

    Article  Google Scholar 

Download references


This work has been supported by ARC Discovery Project grant DP170101306 and NHMRC grant 1123042.

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Correspondence to Jiuyong Li.

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Li, J., Liu, L., Le, T.D. et al. Accurate data-driven prediction does not mean high reproducibility. Nat Mach Intell 2, 13–15 (2020).

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