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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