Credit Card Fraud Detection: Choosing the Right Metrics for Model
Published in
4 min readDec 28, 2020
A Major part of building an effective model is to evaluate the model. The most frequent metric used is ‘Accuracy’. High Accuracy doesn’t mean that the model is performing better in all the situations. It is not always considered to be accurate as it sometimes is misleading in some situations like imbalanced class datasets.
