Machine Learning Project

Credit Card
Fraud Detection

Catching the 0.17% of transactions that cost billions

91% PR AUC
284,807 Transactions
492 Fraud Cases
7 SOTA Models
+3.3% Improvement
💡 Click any graph to expand • Click again to close

📊 Project Overview

Key Stats
Key Statistics
Class Distribution
Class Imbalance
Fraud Rate
Fraud Rate

🔍 Data Analysis

Amount Analysis
Transaction Amounts
Time Analysis
Temporal Patterns
Feature Importance
Feature Importance
Correlation
Fraud Correlation

🏆 ML Results

Winner Model
🏆 Winner: XGBoost
All Models
12 Models Compared
XGBoost vs DL
Why XGBoost Won
SMOTE
Data Augmentation

📈 Model Analysis

Confusion Matrix
Prediction Analysis
PR Curve
Precision-Recall
Threshold
Threshold Trade-offs
SHAP
SHAP Explainability

💼 Impact & Summary

Business Impact
Business Impact
Key Takeaways
Key Takeaways

Complete ML Results

12 models tested. One winner.

ML Results
0.173% Fraud Rate
88.49% Original Score
91.04% After Augmentation

Data Exploration

Understanding the patterns

Class Distribution
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Extreme Imbalance

Only 492 frauds in 284,807 transactions

Amount Analysis
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Amount Patterns

Fraudsters prefer smaller transactions

Time Analysis
T

Temporal Patterns

Fraud timing throughout the day

Feature Correlation
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Feature Correlations

V14, V17, V12 most correlated with fraud

🏆

XGBoost Wins

Gradient boosting with data augmentation crushed 11 other models including deep learning.

91.04%
Augmented XGBoost
vs
73.61%
Deep Neural Network

Model Analysis

Understanding what drives the predictions

Feature Importance
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Feature Importance

V14 + V17 account for 34% of decisions

Threshold Analysis
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Threshold Trade-offs

Precision vs recall business impact

PR Curve
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PR Curve

Area under curve: 91.04%

Model Comparison
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All Models Ranked

Gradient boosting dominates

SHAP Feature Importance
S

SHAP Explainability

Understanding why the model makes decisions

All Models PR Curves
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SOTA Model Comparison

XGBoost, CatBoost, LightGBM, TabNet, Transformer

Summary Dashboard

The complete picture

Summary Dashboard