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Boosting-Approaches-with-Multi-Label-Imbalanced-Data-Problem
Boosting-Approaches-with-Multi-Label-Imbalanced-Data-Problem PublicForked from Mrov9072/Boosting-Approaches-with-Multi-Label-Imbalanced-Data-Problem
The primary objective of this project is to research, develop, and evaluate boosting approaches specifically designed to improve the handling of multi-label datasets with significant class imbalances.
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ML-Project-Skoltech-2024-
ML-Project-Skoltech-2024- PublicForked from fokrey/ML-Project-Skoltech-2024-
Boosting methods for multi-class imbalanced data classification
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