Fraud Detection System

0

Fraudulent Transactions

12% from last month

0

Legitimate Transactions

8% from last month

0

Total Transactions

15% from last month

0%

Model Accuracy

3% improvement

Fraud Analytics Overview

Fraud Distribution

Fraud by Location

Recent Fraud Alerts

Transaction ID	Date & Time	Amount ($)	Location	Merchant	Status	Action

Fraud Detection Prediction

Model: Ensemble (Random Forest + XGBoost)

Transaction Amount ($)

Based on dataset: Amount range from $4.30 to $4189.27

Transaction Location

Locations from the fraud dataset

Merchant Name

Transaction Category

Customer Email Domain

From dataset: customerEmail is an important feature

Customer Device

From dataset: customerDevice is used for fraud detection

Transaction Type

Prediction Results

Safe

Transaction Amount

$0.00

Location

Unknown

Merchant

Unknown

Prediction Confidence

0%

Fraud Probability 0%

Legitimate Transaction Fraudulent Transaction

Is this prediction accurate?

Your feedback helps improve the AI model

Transaction History

ID	Date & Time	Amount	Location	Merchant	Category	Status	Confidence	Actions

Showing 0 transactions

Page 1 of 1

Feature Importance Analysis

Based on Random Forest Feature Importance

Top 10 Most Important Features for Fraud Detection

Amount Distribution

Dataset statistics: Amount ranges from $4.30 to $4189.27

Average fraud amount: $1,245.67 | Average legitimate amount: $256.43

Fraud by Location Heatmap

Top 5 fraud locations: New York, Dallas, Phoenix, San Antonio, Philadelphia