DET Curve and Equal Error Rate (EER) Computation in System Performance Evaluation

In this article, we will explore the concepts of DET (Detection Error Tradeoff) curves and Equal Error Rate (EER) computation. The DET curve is commonly utilized to visualize a system's performance across varying false acceptance and false rejection rates. We will also examine the methodology for calculating EER and its significance in system performance assessment. The discussion will include detailed implementation techniques for generating DET curves through probability score thresholding, along with the algorithmic process for determining EER where false acceptance and false rejection rates intersect. Practical code considerations will cover how to employ ROC curve libraries with modified axis scaling, implement threshold iteration algorithms, and apply these evaluation methods to real-world scenarios such as biometric authentication and fraud detection systems. We will further demonstrate how DET curves and EER metrics can be leveraged to optimize system parameters and enhance overall performance through empirical validation techniques.