Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection: A Comprehensive Study

The author introduces CSForest, a novel ensemble classifier that combines semi-supervised learning with conformal prediction to address distributional shifts in classification tasks. The approach aims to provide accurate predictions for inliers while efficiently detecting outliers.