CRISP: Scalable Importance-Stratified Coresets for Imbalanced Tabular Learning

Hardhik Mohanty, Indrayana Rustandi, Mohamadreza Sheibani

Large imbalanced tabular datasets make repeated gradient-boosted tree training expensive. Existing coreset methods often lose accuracy when most majority examples are removed. We p…