Skip to content

RitujaPawas/Frauddetection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fraud Detection

Detecting Frauds in Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting.

##Classifier used is : XGBoost Classifier ##normalization technique: Standard scaler ##Sampling technique: SMOTEENN

##accuray obtained: 99.9%

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published