🩺 Breast Cancer Diagnosis using Machine Learning

A machine learning project that predicts whether a breast cancer case is Malignant or Benign using clinical diagnostic data.

This model uses Logistic Regression and is deployed as an interactive Streamlit web app.

---

📘 Project Overview

• Built using Python, pandas, scikit-learn, and Streamlit
• Preprocessed and scaled input features
• Model trained with class_weight='balanced'
• Evaluated using precision, recall, and F1-score

---

⚙️ Run Locally

pip install -r requirements.txt
streamlit run app.py



📊 Example Output

The app predicts:

🔹 Malignant (Cancerous)
🔹 Benign (Non-Cancerous)

based on user input features.






👨‍💻 Author

Ashi KM
GitHub: @ashi4evr1