# Credit Card Fraud Detection Dataset
## Context
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
## Content
The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly imbalanced, the positive class (frauds) account for 0.172% of all transactions.
## Dataset Characteristics
- Total Transactions: 284,807
- Fraudulent Transactions: 492 (0.172%)
- Time Period: Two days in September 2013
- Region: European credit card holders
- Type: Binary Classification (Fraud Detection)
## Class Distribution
- Legitimate Transactions: 284,315 (99.828%)
- Fraudulent Transactions: 492 (0.172%)
## Important Notes
- The dataset is highly imbalanced
- All transactions are anonymized
- Contains only numeric input variables
- Features are anonymized for confidentiality