utk-ml-dream-team/accident-severity-prediction

Group 2 - Final Project for the UTK Machine Learning Course (COSC-522)

accident-severity-prediction's Issues

Create Prototype 1 Pipeline

At least one learned technique successfully for each pipeline component.

• Data Loading - Split in train, test, val set
• Preprocessing
• Model Selection
• Hyperparameter tuning
• Training
• Testing

Literature Survey

Due: 11/11

• Determine exact lit. survey topic
• Gather related papers, Kaggle Notebooks, and other material (how many?) for the dataset
• Report state-of-the-art performance for the dataset and methods used
• Write a 2-page report (Latex/Overleaf or MS/Google Word?)

Dataset Selection

• Dataset Selection

Prototype 2

• Implement at least two solutions to each component of the pipeline
• Determine what metrics to use
• Provide performance evaluation results
• Report

Prototype 1 - Preliminary Results

• Select evaluation metrics
• Gather results
• Create visualizations

Final Report

Gather all uncommitted code and finish the final report

Bootstrap project using your python templates

Prototype 1 - 2-page Report