Kaggle Notebook
Cirrhosis Survival Prediction
A multi-class prediction model for liver cirrhosis survival and transplant outcomes, built with ensemble learning on engineered clinical features.
About This Project
A Kaggle competition entry built for fun in spare time — a multi-class classification model predicting cirrhosis patient survival and transplant outcomes, using ensemble methods (XGBoost/LightGBM) on top of engineered clinical features.
Full methodology, feature engineering, and results are documented in the notebook itself — that's the source of record for this project, not this page.
Tech Stack
Python
XGBoost
LightGBM
Kaggle Notebooks