Equal Error Rate in Python

Question

Could anybody tell me how could I compute Equal Error Rate(EER) from ROC Curve in python? In scikit-learn there is method to compute roc curve and auc but could not find the met

Answer 1

Equal error rate (EER) is where your false pos rate (fpr) == false neg rate (fnr) [smaller is better]

using fpr, tpr and thresholds your are getting from roc sklearn computation, you can use this function to get EER:

def compute_eer(fpr,tpr,thresholds):
    """ Returns equal error rate (EER) and the corresponding threshold. """
    fnr = 1-tpr
    abs_diffs = np.abs(fpr - fnr)
    min_index = np.argmin(abs_diffs)
    eer = np.mean((fpr[min_index], fnr[min_index]))
    return eer, thresholds[min_index]