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Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression

Uncertainty measures estimate the reliability of a predictive model. Especially in the field of molecular property prediction as part of drug design, model reliability is crucial. Besides other techniques, Random Forests have a long tradition in machine learning related to chemoinformatics and are w...

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Detalles Bibliográficos
Autores principales: Dutschmann, Thomas-Martin, Baumann, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588039/
https://www.ncbi.nlm.nih.gov/pubmed/34770921
http://dx.doi.org/10.3390/molecules26216514

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