Autoencoder and lightgbm for credit card frauddetection problems

HIGHLIGHTS

• who: Haichao Du and collaborators from the University of Chinese Academy of Sciences, Beijing, China have published the article: AutoEncoder and LightGBM for Credit Card FraudDetection Problems, in the Journal: Symmetry 2023, 15, x FOR PEER REVIEW Symmetry 2023, 15, 870 of /2023/
• what: The authors aim to validate the algorithm by using a dataset of credit card transactions from a European bank. In the experiment , for the network architecture design of the autoencoder model, a total of seven layers of the neural_network were designed. The use of TPR as a fraud detection is because . . .
  

   

  

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