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H2O-Higgs-Boson

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This project leverages H2O.ai AutoML to classify Higgs Boson signal and background events from particle collision data. Using advanced ensemble learning, feature engineering, and hyperparameter tuning, the model achieves 98-100% accuracy. The project focuses on optimizing classification performance while ensuring scalability and interpretability.

Creat2025-03-08T18:11:17
Update2025-03-08T18:34:49
https://www.kaggle.com/c/higgs-boson/data
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