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Name of Quantlet: Fraud Detection

Published in: NN Course

Description: Demonstrates supervised fraud detection using synthetic transaction data. The workflow includes preprocessing, training multiple machine learning classifiers (MLP, Random Forest, XGBoost), and evaluating model performance using classification reports, ROC curves, and feature importance visualizations.

Submitted: 2025-04-11

Keywords: 
- Fraud detection
- Supervised learning
- Classification
- Neural networks
- Ensemble methods
- Feature importance

Author: Siang-Li Jheng

Datafiles: Synthetic Data Sampling.csv

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