Skip to content

Files

Latest commit

 

History

History
2 lines (2 loc) · 327 Bytes

README.md

File metadata and controls

2 lines (2 loc) · 327 Bytes

Vipul_Pawar_Datahack

ChatGPT This project uses LightGBM classifiers and Optuna to predict factors influencing H1N1 and seasonal flu vaccination decisions based on demographic, behavioral, and opinion data. The models achieve an average ROC AUC score of 0.867, highlighting key features that inform public health strategies.