Modified balanced random forest for improving imbalanced data prediction
This paper proposes a Modified Balanced Random Forest (MBRF) algorithm as a classification technique to address imbalanced data. The MBRF process changes the process in a Balanced Random Forest by applying an under-sampling strategy based on clustering techniques for each data bootstrap decision tre...
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| Main Authors: | , |
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| Format: | EJournal Article |
| Published: |
Universitas Ahmad Dahlan,
2019-03-31.
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| Online Access: | Get Fulltext Get Fulltext |
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