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Multi-class Classification Python Model. Based on county’s features, the model predicts the most likely fire cause to occur in that geographical location.

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Allstate Wildfire Incident Analysis

This repository contains a multi-class classification model implemented in Python. The model predicts the most likely cause of a wildfire based on the features of a county. This prediction can help in understanding and mitigating wildfire incidents in different geographical locations.

Repository Contents

  • Jupyter Notebook: The notebook includes the implementation of both Gradient Boosting and KNN models. It was developed locally and is necessary for running the project.

  • Datasets: This folder contains the historical wildfire datasets and county information. These datasets are essential for running the Jupyter Notebook.

  • Slide Deck Presentation: This presentation was delivered to the Allstate team and Break Through Tech Coordinators. It provides a comprehensive overview of the project and its findings.

Please refer to the individual files for more detailed information.

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Multi-class Classification Python Model. Based on county’s features, the model predicts the most likely fire cause to occur in that geographical location.

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