Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods

Knowledge-Based Systems

Volumn 41, Issue , 2013, Pages 16-25

  Zhou, Ligang ^a  

^a MACAU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Macao)

Author keywords

Bankruptcy prediction; Classification; Imbalanced dataset; Oversampling; Undersampling

Indexed keywords

BANKRUPTCY PREDICTION; COMPARISON OF MODELS; IMBALANCED DATA-SETS; IMBALANCED DATASET; OVER SAMPLING; PAIRED SAMPLE; PREDICTION MODEL; QUANTITATIVE METHOD; QUANTITATIVE MODELS; SAMPLE SETS; SAMPLING METHOD; TRAINING SAMPLE; UNDER-SAMPLING;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); SOFTWARE ENGINEERING;

MATHEMATICAL MODELS;

EID: 84873725663     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2012.12.007     Document Type: Article

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