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Beatriz Hernández-Lorca

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedImplementing local-explainability in Gradient Boosting Trees: Feature Contribution

78 citations · 78 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2024★ 78 cited

Implementing local-explainability in Gradient Boosting Trees: Feature Contribution

Ángel Delgado-Panadero, Beatriz Hernández-Lorca, María Teresa García-Ordás +1

Gradient Boost Decision Trees (GBDT) is a powerful additive model based on tree ensembles. Its nature makes GBDT a black-box model even though there are multiple explainable artifi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.