Search Results for author: Asif Mahbub

Found 3 papers, 1 papers with code

MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification

no code implementations18 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

CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification

1 code implementation12 Dec 2017 Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid

We evaluated the performance of CUSBoost algorithm with the state-of-the-art methods based on ensemble learning like AdaBoost, RUSBoost, SMOTEBoost on 13 imbalance binary and multi-class datasets with various imbalance ratios.

Ensemble Learning General Classification +1

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