Handling imbalanced dataset using SVM and k-NN approach
Data mining classification methods are affected when the data is imbalanced, that is, when one class is larger than the other class in size for the case of a two-class dependent variable. Many new methods have been developed to handle imbalanced datasets. In handling a binary classification task, Su...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American Institute of Physics Inc.
2016
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |