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Comparing classifier performance with baselines

Nature Methods volume 21, pages 546–548 (2024)Cite this article

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Fig. 1: Three baseline classifiers applied to an imbalanced dataset with 10 diseased and 30 normal cells.
Fig. 2: Performance metrics of various baselines.
Fig. 3: Distribution of uniform and proportional baseline performance metrics for an imbalanced dataset.
Fig. 4: Two baselines (uniform and proportional) and LDA sensitivity for each fetal health class.

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Authors and Affiliations

  1. Farmer School of Business, Miami University, Oxford, OH, USA

    Fadel M. Megahed & L. Allison Jones-Farmer

  2. Department of Mathematics, University of Dayton, Dayton, OH, USA

    Ying-Ju Chen

  3. College of Public Health and Social Justice, Saint Louis University, Saint Louis, MO, USA

    Steven E. Rigdon

  4. Canada’s Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada

    Martin Krzywinski

  5. Department of Statistics, The Pennsylvania State University, State College, PA, USA

    Naomi Altman

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  1. Fadel M. Megahed
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  2. Ying-Ju Chen
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  3. L. Allison Jones-Farmer
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  4. Steven E. Rigdon
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  5. Martin Krzywinski
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  6. Naomi Altman
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Correspondence to Martin Krzywinski.

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Megahed, F.M., Chen, YJ., Jones-Farmer, L.A. et al. Comparing classifier performance with baselines. Nat Methods 21, 546–548 (2024). https://doi.org/10.1038/s41592-024-02234-5

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