Adaptive Collaborative Minority Oversampling for Multi-Class Imbalanced Classification This repository contains the initial implementation code and preprocessed datasets (using 5×5 cross-validation partitioning). Due to dataset size constraints, files are provided in compressed format.
Usage Instructions: Download Resources: Obtain TestData.zip containing all datasets and code
Execute Processing: For each dataset in TestData:
Run 1_smoteboost_imp2.py
Then execute test0_sb10com2.py
Access Results: Outputs will be generated in the Comparison directory
Note: Optimized code will be released following further refinement.