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.
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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.
vippawar1104/Vipul_Pawar_Datahack
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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.
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