midterm report

[deepti-talesra]

I think the report is well developed and liked how they took numerous factors into consideration. The group correctly identified ratios of accidents since certain states are bigger or more populous and will naturally cause higher accidents to occur. They used ordinal values and multi-classification and imputed missing data values. I liked how there were multiple graphs to describe their problem and thorough exploration of models. 3 areas to work on in my opinion would be first, if possible consider how light it was outside (more in terms of time vs day and night encodings). This could lead to more accuracy but if that is information that can easily be encoded and if there is enough data to back each class of encoding. More explanation into latitude and longitude would be useful. I am assuming its due to the fact that certain locations are more urban, but having that affirmed would be useful. And finally, if there can be probabilities used for the types of accidents that are likely to occur for the predictions for the final report. Overall I thought it was very compelling.