Breast Cancer Wisconsin Diagnostic Prediction Model

ML model for benign/malignant breast cancer classification using Wisconsin Diagnostic dataset.

Models Tested: • Logistic Regression • K-Nearest Neighbors (KNN) • Random Forest • Linear Discriminant Analysis (LDA): 97.37% accuracy • Quadratic Discriminant Analysis (QDA)

Best performing model: LDA with 97.37% accuracy