This app uses machine learning to predict if a mass is benign or malignant based on breast cancer tissue measurements from a cytosis lab. These mesurments can be adjusted using the sidebar to the right and the model has an accuracy of 97%. This model was trained using the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle provided by UCI MACHINE LEARNING. (https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data). This project is for EDUCATIONAL USE ONLY and should NOT be used for real cancer diagosis without the supervision of a doctor.
To run Malignancy Predictor For Breast Cancer locally, you will need to have Python 3.6 or higher installed. Then, you can install the required packages by running:
pip install -r requirements.txtThis will install all the necessary dependencies.
To start the app, simply run the following command:
streamlit run app.py