This project provides an Explainable AI (XAI) model for detecting COVID-19 from medical data. It focuses on interpreting machine learning models' decisions to ensure transparency and trust.
- Uses machine learning algorithms to detect COVID-19.
- Implements explainability techniques like SHAP and LIME.
- Visualizes key features contributing to model predictions.
- Python 3.x
- Required libraries:
pandas,scikit-learn,shap,lime, etc.
- Clone the repository.
- Install dependencies:
pip install -r requirements.txt - Run the notebook.
MIT License