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How do you interpret an equal error rate?
When the rates are equal, the common value is referred to as the equal error rate. The value indicates that the proportion of false acceptances is equal to the proportion of false rejections. The lower the equal error rate value, the higher the accuracy of the biometric system.
What is equal error rate used for?
A statistic used to show biometric performance, typically when operating in the verification task. The EER is the location on a ROC or DET curve where the false acceptance rate and false rejection rate are equal. In general, the lower the equal error rate value, the higher the accuracy of the biometric system.
What is EER error?
As an indicator of Biometric Performance, an ERR(Equal Error Rate) is a point where FAR (False Acceptance Rate) and FRR (False Rejection Rate) intersects. A device with lower EER is regarded to be more accurate.
How is EER machine learning calculated?
1 Answer
- EER=FAR+FRR2 with those single FAR and FRR values that minimize abs(FAR-FRR) . In your case: 0.5+0.42=0.45.
- Using the line between the FAR and FRR values directly before and after FAR==FRR (in your case: the line between FAR1=0.5 , FRR1=0.4 , and FPR2=0.2 , FRR2=0.6 ).
Why do we use the equal error rate?
Take an hour or six to grok them. Once you understand ROC curves then the equal error rate loses its mystery. It’s just one way of trying to optimise the trade-off between false positives and false negatives: It’s often used in things like biometric security.
How to find the equal error rate in biometrics?
By plotting all points (FPrate, FNrate) you will have the so called DET graph (Detection error tradeoff https://en.wikipedia.org/wiki/Detection_error_tradeoff ). The intersection of this graph with the bisecting line give you the EER value (Equal Error Rate). James Wayma et. al. Biometric Systems pp159. This is the EER estimator that I usually use.
What does the EER mean on a graph?
Now, plot FAR and FRR on a graph and you will get a point where two curves generated by FAR and FRR intersects each other. That point is the EER. That means, EER is the point where your false identification and false rejection rate are minimal and optimal.
What does e i π mean in Euler’s formula?
Therefore, e i π means starting at 1 and rotating pi (halfway around a circle) to get to -1 That’s the high-level view, let’s dive into the details. By the way, if someone tries to impress you with e i π = − 1, ask them about i to the i -th power. If they can’t think it through, Euler’s formula is still a magic spell to them.