Recognizing fraudulent activity in the banking system is essential due to the significant risks involved. When fraudulent transactions are vastly outnumbered by non-fraudulent ones. dealing with imbalanced datasets can be difficult. This study aims to determine the best model for detecting fraud by comparing four commonly used machine learning algorithms: Support Vector Machine (SVM). https://www.roneverhart.com/Sound-Anchors-ADJ2-Monitor-Stands-44-Tall-Pair-p15046/