Fraud Detection Insights: Transaction Distribution, Class Imbalance, and Amount-Based Analysis

Fraud Detection Insights: Transaction Distribution, Class Imbalance, and Amount-Based AnalysisAn analysis of 1,000 financial transactions reveals a highly imbalanced fraud landscape, with 98.2% legitimate transactions (982 records) and only 1.8% fraudulent transactions (18 records). This distribution reflects the real-world challenge of fraud detection, where fraudulent activities represent a very small fraction of overall transactions.An analysis of 1,000 financial transactions reveals a highly imbalanced fraud landscape, with 98.2% legitimate transactions (982 records) and only 1.8% fraudulent transactions (18 records). This distribution reflects the real-world challenge of fraud detection, where fraudulent activities represent a very small fraction of overall transactions.View this data story on Datastam