From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction

<p>This work addresses the need for precise prediction models that predict the severity of injuries sustained in traffic crashes as a regression task. To this end, we thoroughly analyzed traffic crashes in Rome between 2016 and 2019, gathering data on vehicle attributes and environmental facto...

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Bibliographic Details
Main Author:	Soukaina EL Ferouali (20602200) (author)
Other Authors:	Zouhair Elamrani Abou Elassad (8526207) (author), Sara Qassimi (20602203) (author), Abdelmounaîm Abdali (20602206) (author)
Published:	2025
Subjects:	Medicine Biotechnology Space Science Information Systems not elsewhere classified precise prediction models fourth predictive systems artificial neural networks accurate forecasting models findings provide insight enhancing traffic safety injury severity prediction grid search techniques advanced feature selection grid search feature selection traffic crashes findings offer feature resampling work addresses viable way vehicle attributes smote technique smote strategy results demonstrate regression task random forest r2 score much interest intricate problem injuries sustained greater performance gathering data environmental factors decision trees best practice based system balanced approaches
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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction

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