GitHub - firasbrinsi1998/accidents-severity-classification-using-SMOTENC: A robust analysis and solution for predicting accident severity using state-of-the-art ensemble models, specifically Random Forest and XGBoost. The implementation includes data preparation using SMOTENC for imbalanced data, model training, and evaluation, all wrapped in an easy-to-use pipeline.

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A robust analysis and solution for predicting accident severity using state-of-the-art ensemble models, specifically Random Forest and XGBoost. The implementation includes data preparation using SMOTENC for imbalanced data, model training, and evaluation, all wrapped in an easy-to-use pipeline.

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Accidents.xlsx		Accidents.xlsx
Acicdents_Classification_de_la_sévérité_avec_SMOTENC.ipynb		Acicdents_Classification_de_la_sévérité_avec_SMOTENC.ipynb