MAHAKIL:Diversity based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction
IEEE Highly imbalanced data typically make accurate predictions difficult. Unfortunately, software defect datasets tend to have fewer defective modules than non-defective modules. Synthetic oversampling approaches address this concern by creating new minority defective modules to balance the class d...
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| Main Authors: | , , , , |
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| Format: | Journal |
| Published: |
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028936214&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40258 |
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| Institution: | Chiang Mai University |