About This Project
Experimented with Gradient Boosting algorithms to get the most effective model
that can be used in predicting Breast Cancer. The highest accuracy is obtained
through XGBoost and LightGBM 97.49% and ExtraTreeClassifier algorithm,
97.28% followed by CatBoost algorithm having an accuracy of 95%.
Project Walkthrough
Tools & Technologies
Tags
- machine learning
- healthcare
- feature engineering
- exploratory data analysis