This project focuses on diagnosing breast cancer using binary, supervised machine learning. It utilizes a distance-based algorithm, specifically the k-Nearest Neighbors (KNN) algorithm. The project employs a robust 5-fold nested cross-validation technique for model evaluation and hyper-parameter tuning.
- Clone the repository:
git clone https://github.com/your-username/diagnosis-of-breast-cancer.git - Navigate to the project directory:
cd diagnosis-of-breast-cancer - Install required dependencies:
pip install -r requirements.txt
- Ensure your dataset is appropriately formatted.
- Modify the necessary parameters in the script.
- Run the main script:
python main.py
Contributions are welcome! Please follow the guidelines in the GitHub CONTRIBUTING.md.
This project is licensed under the APACHE 2.0 LICENSE.
For questions, suggestions, or feedback, feel free to reach out to us - refer to details in our profile