MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification

18 Dec 2017Farshid RayhanSajid AhmedAsif MahbubMd. Rafsan JaniSwakkhar ShatabdaDewan Md. FaridChowdhury Mofizur Rahman

Class imbalance problem has been a challenging research problem in the fields of machine learning and data mining as most real life datasets are imbalanced. Several existing machine learning algorithms try to maximize the accuracy classification by correctly identifying majority class samples while ignoring the minority class... (read more)

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