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Prediction of Accident Severity Using Machine Learning Algorithms

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Even though they happen so regularly, car accidents usually rank among the most terrifying experiences a person can have. Using crash severity prediction models, various government agencies may learn more about the factors that influence or are related to collision severity, allowing them to foresee the seriousness of an accident. Machine learning algorithms may assist in finding trends to forecast the severity of an accident using accident data. To accurately forecast the accident severity for this study, we created a prediction framework and applied three different machine learning algorithms: random forest, logistic regression, and decision tree.

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