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stat.ML2024
S-SIRUS: an explainability algorithm for spatial regression Random Forest
Luca Patelli, Natalia Golini, Rosaria Ignaccolo +1
Random Forest (RF) is a widely used machine learning algorithm known for its flexibility, user-friendliness, and high predictive performance across various domains. However, it is…
stat.ML2023★ 1 cited
A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review
Luca Patelli, Michela Cameletti, Natalia Golini +1
Random Forest (RF) is a well-known data-driven algorithm applied in several fields thanks to its flexibility in modeling the relationship between the response variable and the pred…