• Gonda Ranjith
• Vislavath Praveen Kumar
• Sapavat Ramesh
• Dr. V. Saravana Kumar

Traffic is a major reason for road accidents. Due to road accidents occurred injuries and lives loss both. So safe driving and observe the road traffic to find information regarding road accidents. If you understand this situation, study road accidents and it helped us develop novel strategies to avoid road accidents. So many factors like road conditions, and traffic accidents impact accidents. To overcome this problem, make an accident prediction model. In our research, we use machine learning and ensemble learning. In our research study, compare all models and ensemble models with the road traffic accident dataset. We find the accuracy of all models. We observe support vector machines and decision trees predict a lower accuracy rate compared with other models. Ensemble models also do not give much accuracy compared to individual models. Finally, extra trees predict the highest accuracy rate.

Ensemble learning, Road traffic accident, data prediction, Machine learning

"ENSEMBLE MACHINE LEARNING ALGORITHMS BASED ON ROAD TRAFFIC ACCIDENT DATA PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p593-p604, April-2024, Available :http://www.jetir.org/papers/JETIR2404G78.pdf

"ENSEMBLE MACHINE LEARNING ALGORITHMS BASED ON ROAD TRAFFIC ACCIDENT DATA PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp593-p604, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G78.pdf