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insight-lane / crash-model

Build a crash prediction modeling application that leverages multiple data sources to generate a set of dynamic predictions we can use to identify potential trouble spots and direct timely safety interventions.
https://insightlane.org
MIT License
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Segment + time-based model testing #126

Closed terryf82 closed 5 years ago

terryf82 commented 6 years ago

Definitely a lot to unpack in this one.

Let's start with what is the problem we're trying to solve. It seems like our current approach to generating predictions (per segment + week) doesn't align with what we think stakeholders might find most useful - if that's the case, what would be more useful? Do we need to seek additional input on this before making changes?

bpben commented 5 years ago

After testing, it seems like a segment-level model performs reasonably well, though it's difficult to compare with the week-level model as their outputs are pretty different. With #154 I've added the ability to switch to a segment-level model with a config flag. Kind of a stop-gap for now, we'll have to see which type of model works best in v2. I think we can close this for now, testing, at least, is pretty much done.