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.

Sign up for GitHub

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

Jump to bottom

Develop LGBM Classifiers #2

Open
abbey2017 opened this issue May 23, 2020 · 0 comments
Open

Develop LGBM Classifiers #2

abbey2017 opened this issue May 23, 2020 · 0 comments
Assignees
@abbey2017
Labels
Modeling Develop algorithms for predictions
Milestone
Develop new ML al...

Comments

@abbey2017
Copy link
Owner

abbey2017 commented May 23, 2020 •
edited
Loading

The story is about developing light gradient boosting classifiers for predicting nature of financial transactions (fraudulent or not).

Acceptance criteria:
(1) Train and evaluate an optimal LGBM model using generic objective such as binary crossentropy/ logloss
(2) Perform (1) using different custom objective
(3) Document results in Wiki
@abbey2017 abbey2017 self-assigned this May 23, 2020
@abbey2017 abbey2017 added the Modeling Develop algorithms for predictions label May 23, 2020
@abbey2017 abbey2017 added this to the Develop new ML algorithm milestone May 23, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@abbey2017 abbey2017

Labels
Modeling Develop algorithms for predictions
Projects
None yet
Milestone
Develop new ML algorithm
Development

No branches or pull requests
1 participant
@abbey2017