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Internationally, this need to cooperate between public and private partners has been recognized and put into action for the Netherlands to follow. Boris Sharchilev, Yury Ustinovsky, Pavel Serdyukov, and I have released a new pre-print on “finding influential training samples for gradient boosted decision trees” on ar Xiv.
In the paper we address the problem of finding influential training samples for a particular case of tree ensemble-based models, e.g., Random Forest (RF) or Gradient Boosted Decision Trees (GBDT).
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