Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Midterm Peer Review #125

Open
mattziron opened this issue Nov 15, 2019 · 1 comment
Open

Midterm Peer Review #125

mattziron opened this issue Nov 15, 2019 · 1 comment

Comments

@mattziron
Copy link

As I can see, your goal is to predict hospital stay lengths and costs for patients at a certain hospital based on certain information about the patient. Seems like a very interesting idea. The thing that caught my eye the most was that you mentioned covering specific cases, like heart attack victims, because your model was too general. Do you have access to the condition they're coming in for? Because if you do, that would probably be worth putting in the model. I would also try different feature transformations if possible. Like since the length of stays of exponentially distributed themselves, it's very possible they have an exponential relationship with various real valued features.

@sijiafan
Copy link
Collaborator

please leave your peer review comment on the group project's repo, but not on this ProjectsFall2019 repo.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants