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What is Predicting Flight Accident Severity with ML about?

This research paper presents a machine learning-based approach for predicting the severity of flight accidents, utilizing feature engineering techniques on a publicly available dataset. The proposed method achieves an accuracy of up to 85%, outperforming traditional algorithms, and classifies accidents into four severity types. The findings emphasize the potential of this approach to aid aviation safety experts and regulators in developing effective accident prevention strategies.

Author

Karthick Sundaram

Language

EN