/Breast-Cancer-Classification-Model-End-to-End-Machine-Learning-Pipeline

This project builds a breast cancer classification model using numerical data like mean_radius and mean_area to predict diagnosis (benign/malignant). Random Forest was the top performer among models. A KNIME workflow ensures reproducibility, and predictions on unseen data are demonstrated.

Primary LanguagePythonMIT LicenseMIT

This repository is not active