Hi there,

I have recently looked into using sklearn for biometric security models. In this field one of the most common metrics is equal error rate (EER). Surprisingly it's not out of the box in sklearn despite the long list of scores and metrics shipped with https://scikit-learn.org/stable/modules/classes.html

I have coded a piece of code to compute the EER in different contexts, such as optimizing hyperparameters and model space to minimize it. Is it worth cleaning it and including it in a pull request?