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

Consider hyperparameter tuning with the general Tabular domain #57

Open
PSSF23 opened this issue Nov 15, 2021 · 0 comments
Open

Consider hyperparameter tuning with the general Tabular domain #57

PSSF23 opened this issue Nov 15, 2021 · 0 comments
Assignees
Labels
tabular Tabular tasks

Comments

@PSSF23
Copy link
Member

PSSF23 commented Nov 15, 2021

Specifically, use a left-out set of Tabular datasets to tune the hyperparameters. Possibly implement 5-fold cross validations (tune on 4 folds, test on 1 fold) to evaluate classifier performances. Within each dataset, the performance is also calculated with 5-fold cross validations.

@PSSF23 PSSF23 added ndd Neuro Data Design tabular Tabular tasks and removed ndd Neuro Data Design labels Nov 15, 2021
@PSSF23 PSSF23 self-assigned this Nov 15, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
tabular Tabular tasks
Projects
None yet
Development

No branches or pull requests

1 participant