About this document
Credit Card Fraud Detection Model by jyotiprakashuprety2024 is a document available to read on EtoBox.
The document outlines a project on credit card fraud detection using a dataset from Kaggle, consisting of 284,807 transactions with a focus on preprocessing steps, model performance, and a front-end application. A Logistic Regression model was trained, achieving a precision of 0.92, recall of 0.85, and an ROC-AUC score of 0.98, indicating effective fraud detection. Additionally, an interactive web application was developed to predict fraud in real-time, with features for user input and probability display.
- Author
- jyotiprakashuprety2024
- Language
- EN