Automated machine learning system for imbalanced medical data
Project description
AutoImblearn
AutoImblearn is an AutoML system tailored to imbalanced datasets. It automates the selection of preprocessing techniques, resampling strategies, model selection, and hyperparameter optimization to achieve robust performance on imbalanced classification tasks.
Features
- Automatic pipeline generation
- Support for common imbalanced learning techniques
- Hyperparameter tuning
- Modular design for extensibility
Installation
To install the package, run:
pip install AutoImblearn
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