Breast Cancer Detection using Logistic Regression

This project uses Logistic Regression to detect breast cancer from diagnostic data with a high accuracy.

📂 Dataset

• Source: UCI Machine Learning Repository
• Description: Features are computed from digitized images of breast mass biopsies.

⚙️ Methodology

• Algorithm: Logistic Regression
• Libraries: Python, scikit-learn, pandas, numpy, matplotlib
• Preprocessing: Standard scaling, train-test split.

✅ Results

• Accuracy: 96.7%
• Standard Deviation: ±1.97%