Road Accident Prediction
DOI:
https://doi.org/10.32628/IJSRSET2411446Keywords:
Road Safety, Machine Learning, Accident Pre- diction, Random Forest, Feature EngineeringAbstract
Road accidents are a global concern, leading to a significant loss of life and property. This paper presents a machine learning-based approach for predicting road accidents by leveraging feature engineering techniques and advanced Ran- dom Forest models. Using enriched datasets with preprocessing methods, the proposed model achieves a predictive accuracy of over 92%. This study also explores key insights from accident data, providing actionable outcomes to improve road safety measures.
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References
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