HBoost: A heterogeneous ensemble classifier based on the Boosting method and entropy measurement.

Hamid Reza Kadkhodaei,Amir Masoud Eftekhari Moghadam,Mehdi Dehghan

Expert Systems with Applications（2020）

引用 25|浏览7

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摘要

•Heterogeneous algorithms are used for the base classifiers of the Boosting ensemble.•Diversity and accuracy are used to prune an ensemble model.•A self-configured ensemble model for specifying the base classifiers is addressed.•HBoost significantly outperforms several state-of-the-art approaches.

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关键词

Ensemble learning,Heterogeneous models,Boosting classifier,Ensemble pruning,Ensemble diversity

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