Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data

In this paper, we propose a diversity-aware ensemble learning based algorithm, referred to as DAMVI, to deal with imbalanced binary classification tasks. Specifically, after learning base classifiers, the algorithm i) increases the weights of positive examples (minority class) which are "hard&q...

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Veröffentlicht in:	arXiv.org 2020-04
Hauptverfasser:	Goyal, Anil, Khiari, Jihed
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Classifiers Fraud Machine learning Predictive maintenance
Online-Zugang:	Volltext
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