Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?
Langue
en
Communication dans un congrès
Ce document a été publié dans
ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021-10-06, Bruges.
Résumé en anglais
The present manuscript tackles the issues of model interpretability and variable importance in random forests, in the presence of correlated input variables. Variable importance criteria based on random permutations are ...Lire la suite >