Balancing after the train-test split avoids leakage-based inflation in a credit card fraud model, but the paper's evidence for the inflation effect is borrowed from other studies rather than measured in a matched experiment.
The classification performance of ensemble decision tree classifiers: a case study of detecting fraud in credit card transactions
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Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection
Balancing after the train-test split avoids leakage-based inflation in a credit card fraud model, but the paper's evidence for the inflation effect is borrowed from other studies rather than measured in a matched experiment.