arxivcs.LGcs.AI2026-07-17
K-IPO: Kendall-constrained Importance Preserving Oversampling for Imbalanced Tabular Data
Marios Tyrovolas, Argiris Sofotasios, Dimitris Metaxakis, Georgios Mermigkis, George Georgoulas, Panagiotis Hadjidoukas, et al.
Oversampling is widely used to address class imbalance in tabular classification, but existing methods can distort the feature importance ranking underlying model explanations. Although recent studies have quantified this distortion by comparing real and synthetic data, none have…