2 papers
stat.ML2025
Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification
Moria Mayala, Erwan Scornet, Charles Tillier +1
Many classification tasks involve imbalanced data, in which a class is largely underrepresented. Several techniques consists in creating a rebalanced dataset on which a classifier…
math.ST2025
Infinite random forests for imbalanced classification tasks
Moria Mayala, Olivier Wintenberger, Charles Tillier +1
We study predictive probability inference in classification tasks using random forests under class imbalance. We focus on two simplified variants of Breiman's algorithm, namely sub…