Prediction-of-US-Traffic-Accidents _final_report_peer_review

[pangnana]

The objective of this project is to use U.S. national traffic accident dataset to find out what are the significant factors leading to severity of accidents. They have also compared their results for five different U.S. states.
Three things I really like about this report:
• I really like how they visualized their dataset and presented the results. It looks really clear to me.
• They did give a detailed thought process of how they did the data preprocessing such as dealing with different data types, how they select the models and how they tune the hyperparameters for one model they chose. This makes their experiment reproducible.
• I find the topic really interesting especially when they select five states by including South Carolina which had the highest weighted number of car accidents.
Three things I think may need some improvement:
• They could possibly give a reasoning behind why they choose certain models.
• Some conclusions may be assumptions not supported by any authoritative source as they discuss why certain factors are more important in certain states.
• They could include their aspects of what can be done /what models or approaches can we try regarding this dataset in the future.