The notebook describes the approach for solving binary classification problem with strongly unbalanced tabular data. Given dataset containing current and past loans granted by the company, the goal is to predict the loan status (1 or 0) where frequency of 0s is greater than frequency of 1s.
-
Notifications
You must be signed in to change notification settings - Fork 0
AdamRajfer/lending-club
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Binary classification with unbalanced tabular data