LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification

no code implementations • 15 Nov 2017 • Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman

The problem of class imbalance along with class-overlapping has become a major issue in the domain of supervised learning.

Classification General Classification

MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification

no code implementations • 18 Dec 2017 • Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman

The performance of MEBoost has been evaluated on 12 benchmark imbalanced datasets with state of the art ensemble methods like SMOTEBoost, RUSBoost, Easy Ensemble, EUSBoost, DataBoost.

BIG-bench Machine Learning Classification +1