This study is based on the dataset Credit Card Fraud Detection Anonymized credit card transactions labeled as fraudulent or genuine provided by kaggle link . I first did an exploratory data analysis, and used a logistic regression algorithm to build a model to detect fraud transaction. The dataset is highly imbalanced, I used precision and recall to measure the accuracy of the model, and tried different sampling method to improve the performance.
-
Notifications
You must be signed in to change notification settings - Fork 0
cnicault/data-case-studies
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published