Improving Class Imbalance Detection And Classification Performance: A New Potential of Combination Resample and Random Forest
Balancing; Classification (of information); Digital storage; Machine learning; Random forests; And machine learning; Class imbalance; Classification performance; Classification technique; Detection performance; Machine-learning; Misclassifications; Random forests; Resamples; Research focus; Data min...
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Main Authors: | , , , |
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Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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Institution: | Universiti Tenaga Nasional |
Summary: | Balancing; Classification (of information); Digital storage; Machine learning; Random forests; And machine learning; Class imbalance; Classification performance; Classification technique; Detection performance; Machine-learning; Misclassifications; Random forests; Resamples; Research focus; Data mining |
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