Context

Credit card frauds happen mainly due to customer negligence on which the credit card companies have no control over. But the credit card companies do have control over the transactions. With rising usage of online transactions and hacker attacks, acquiring knowledge and finding patterns of fraudulent transactions has become very important in order to stop such transactions from happening and in turn provide a sense of security to their customers.

Content

The file CC_FRAUD.csv contains details of 94682 transactions that are marked as fraudulent or legitimate transactions.

Column description:

1. DOMAIN: The domain name of the customer's email address that was used for the transaction (Masked)
2. STATE: The state code of the customer's location.
3. ZIPCODE: The zip code of the customer's location.
4. TIME1: Hour feature #1 of the transaction.
5. TIME2: Hour feature #2 of the transaction.
6. VIS1: Anonymized feature #1 for feature VIS.
7. VIS2: Anonymized feature #2 for feature VIS.
8. XRN1: Anonymized feature #1 for feature XRN.
9. XRN2: Anonymized feature #2 for feature XRN.
10. XRN3: Anonymized feature #3 for feature XRN.
11. XRN4: Anonymized feature #4 for feature XRN.
12. XRN5: Anonymized feature #5 for feature XRN.
13. VAR1: Anonymized feature #1 for feature VAR.
14. VAR2: Anonymized feature #2 for feature VAR.
15. VAR3: Anonymized feature #3 for feature VAR.
16. VAR4: Anonymized feature #4 for feature VAR.
17. VAR5: Anonymized feature #5 for feature VAR.
18. TRN_AMT: The transaction amount.
19. TOTAL_TRN_AMT: The total transaction amount.
20. TRN_TYPE: The type of transaction whether FRAUD or LEGIT.