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  "Title": "Aggregated Hold-Out Cross Validation",
  "Date": "2023-05-23",
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  "Description": "The 'agghoo' procedure is an alternative to usual\ncross-validation. Instead of choosing the best model trained on\nV subsamples, it determines a winner model for each subsample,\nand then aggregates the V outputs. For the details, see\n\"Aggregated hold-out\" by Guillaume Maillard, Sylvain Arlot,\nMatthieu Lerasle (2021) <arXiv:1909.04890> published in Journal\nof Machine Learning Research 22(20):1--55.",
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  "Author": "Sylvain Arlot [ctb], Benjamin Auder [aut, cre, cph], Melina\nGallopin [ctb], Matthieu Lerasle [ctb], Guillaume Maillard\n[ctb]",
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