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Genetic Algorithm Based Oversampling Approach to Prune the Class Imbalance issue in Software Defect Prediction

2021-04-26

Abstract excerpt

Class Imbalance is the potential problem that has been existent in machine learning, which hinders the performance of the classification algorithm when applied in real world applications such as electricity pilferage, fraudulent transactions, anomaly detection, prediction of rare diseases, etc. Class Imbalance refers to the problem where the distribution of the sample is skewed or biased towards one particular cla...

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Identifiers and source

Literature Corpus work
54a30fa2-b697-55b5-a078-0c6d0fa59257
DOI
10.21203/rs.3.rs-434360/v1
Open publication

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