The credit card fraud detection model employs a Random Forest Classifier, a robust ensemble learning technique. It analyzes various transaction features to accurately identify fraudulent activities, leveraging the collective decision-making of multiple decision trees to enhance detection accuracy and resilience against data imbalances. INPUT
OUTPUT
For dataset visit
https://drive.google.com/file/d/15IK2Viz9FXRsZR_p4OMPwvKYaNJ0Bilb/view?usp=sharing