Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

Official code of the paper Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

Datasets

• https://www.kaggle.com/mlg-ulb/creditcardfraud

🚀 Usage

1. Place CCFD dataset into /datasets/Kaggle_CCFD.
2. Run:

python3 main.py --mode train
python3 main.py --mode test
python3 main.py --mode explainer

The Pyod Experiments

1. Use function writeToCsv() in split.py to split dataset into training set and testing set.
2. Run the .py in /pyod, such as:

cd pyod
python3 ocnn.py