Impact of Data Balancing and Feature Engineering on Accident Severity Models
This study investigates the impacts of feature engineering techniques, including Clustering, Target Encoding and Anomaly Detection, in conjunction with data balancing methods, on the efficacy of machine learning models for predicting road accident severity. Automated Machine Learning (AutoML), Distr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2025-06-01
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| Series: | Promet (Zagreb) |
| Subjects: | |
| Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/856 |
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