Feature bagging for outlier detection

Feature bagging enhances algorithmic stability, study finds

Researchers have analyzed feature bagging, an ensemble method that trains base learners on randomly subsampled feature subsets, focusing on its impact on algorithmic stability. They introduced "feature instability" (FI)…