An anlysis of different models that can be used to score routes based off of safety/past crash data for the navigAid application: https://github.com/Rayna-Yu/NavigAid

This repository contains:

• Data Preprocessing Scripts: Methods for cleaning and transforming raw crash data into usable formats.
• Original Datasets: Access to the unprocessed crash data used in our analysis.
• Cleaned and Processed Datasets: Refined datasets ready for model training and evaluation.
• Model Implementations: Code for various machine learning models applied to predict route safety.
• Evaluation Metrics: Scripts to assess model performance and compare different approaches.

We explored a couple of different models for classification including:

• Logistic Regression
• SVM (support vector machine)
• Gradient Boosting
• Random Forest

Ultimately, we dove the most in-depth with evaluation metrics for Random Forest for accuracy and interpreability. Feel free to look around and try it out!