Creating a Fraud Detection System: Insights from Achieving 99.76% Accuracy

There is a number that haunts every fraud detection engineer: 0.13%. That is the fraud rate in the PaySim dataset — 8,213 fraudulent transactions buried inside 6,362,620 legitimate ones. It sounds small. It is not. At that ratio, a model that predicts "legitimate" for every single transaction achiev