eijeoloche1/Classify_tumors_as_Malignant_or_Benign

🎗️ Breast Cancer Classification Model

Real-time breast cancer classification using machine learning. The model achieves over 98% accuracy on the Wisconsin Breast Cancer Dataset.

🚀 Features

• —Instant predictions from cellular characteristics
• —Example cases for testing (malignant/benign)
• —Professional medical interface
• —Confidence scoring

📊 Model Performance

• —Accuracy: >98%
• —Algorithm: Logistic Regression
• —Dataset: Wisconsin Breast Cancer Diagnostic
• —Features: 30 cellular measurements

⚠️ Disclaimer

This is a demonstration project for educational purposes only. Always consult healthcare professionals for medical diagnoses.

🛠️ Technical Details

• —Built with Scikit-learn and Gradio
• —Model trained directly on Hugging Face
• —No external file dependencies
• —Version compatibility ensured