The Difference Between Precision-recall and ROC Curves for Evaluating the Performance of Credit Card Fraud Detection Models
The study is devoted to the actual problem of fraudulent transactions detecting with use of machine learning. Presently the receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, for a skewed dataset ROC curves do...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Anhalt University of Applied Sciences
2018-03-01
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Series: | Proceedings of the International Conference on Applied Innovations in IT |
Subjects: | |
Online Access: | https://icaiit.org/paper.php?paper=6th_ICAIIT/1_3 |