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For my Credit card fraud detection (classification) project I have got two data set, Train.csv and Test.csv When I checked the summary of the dataset I found my target variable, "is_fraud" is highly imbalanced. 99.2% data is not_fraud and only 0.71% is fraud as shown below. How can I balance the this data.

0: 12875  -> 99.29%
1:    91  -> 0.71%

In test.csv also same thing, 99% data is "not_fraud" and 1% data is "fraud".

So, I have 2 questions
Q1) Do I need to balance both train and test, or only train.
Q2) How to balance them.
Any help will be appreciated. I am using R programming for this project.

How to balance the data in target variable.

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    – Sycorax ♦
    Dec 1, 2022 at 2:59

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