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The Final Report of the Traineeship Program 2025 focuses on predicting blood donations using a dataset from a mobile blood donation vehicle in Taiwan. The project utilized data preprocessing, model selection with TPOT, and achieved an AUC score of 0.7890 after applying log normalization to improve model performance. Future work may involve exploring advanced machine learning models and additional feature engineering techniques to enhance predictive capabilities.

Author

ritesh23075

Language

EN