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Astrophysics Source Code Library

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Searching for codes credited to 'Garg, Anurag'

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[submitted] Machine Learning-Based Supernova Classification with PR-AUC Optimization

This repository implements an optimized XGBoost-based framework for photometric classification of Type Ia supernovae, addressing class imbalance through PR-AUC and F1-score prioritization. The approach is designed for scalability in large-scale astronomical surveys such as LSST and ensures improved classification robustness compared to traditional metrics like ROC-AUC.