5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 5 cited
A survey and taxonomy of methods interpreting random forest models
Maissae Haddouchi, Abdelaziz Berrado
The interpretability of random forest (RF) models is a research topic of growing interest in the machine learning (ML) community. In the state of the art, RF is considered a powerf…
cs.LG2024
Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models
Haddouchi Maissae, Berrado Abdelaziz
Random Forest (RF) is well-known as an efficient ensemble learning method in terms of predictive performance. It is also considered a Black Box because of its hundreds of deep deci…