Credit-Card-Fraud-Detection

About app.py

app.py is a Streamlit web application that detects whether a credit card transaction is legitimate or fraudulent.

It performs the following key functions:

1. Data Preprocessing: Loads transaction data from creditcard.csv and balances the dataset by undersampling the majority class (legitimate transactions).
2. Model Training: Trains a Logistic Regression model on the balanced dataset.
3. Web Interface: Provides a Streamlit UI allowing users to input a comma-separated list of transaction features to receive a real-time prediction.

How to run

You can start the web application by running:

streamlit run app.py