What is the difference between EER and DCF I was designing a multi-speaker identification model and I searched about some metrics that one may use, I found two metrics:

EER (equal error rate).
DCF (detection cost function)

and my question is what the difference between them? and is one better than the other for my model?
Regarding DCF, Carbonell et al. (2007) state &quot;Although it is an excellent evaluation tool, the DCF has the limitation that it has parameters that imply a particular application of the speaker detection technology.&quot;
For EER the authors make the following statement: &quot;The EER is a concise summary of the discrimination capability of the detector. As such it is a very powerful indicator of the discrimination ability of the detector, across a wide range of applications. However, it does not measure calibration, the ability to set good decision thresholds.&quot;
References
Carbonell, J. G., Siekmann, J., Müller, C., van Leeuwen, D. A., &amp; Brümmer, N. (2007). An Introduction to Application-Independent Evaluation of Speaker Recognition Systems. In Speaker Classification I (pp. 330–353).