Christian Barravecchio

Comparing Machine Learning and Soft-Voting Ensemble Models for Credit Card Fraud Detection in Imbalanced Transaction Data

Credit card fraud detection is a highly imbalanced classification problem in which headline accuracy can be misleading. In the held-out Kaggle test file used in this study, only 2,145 of 555,719 transactions (0.386%) were fraudulent; a classifier that labeled every transaction legitimate would therefore achieve approxi...