%Error in JASP vs Bayes Error Rate
I can't get my head around how "% error" in JASP possibly relates to the Bayes Error Rate (BER). It seems that both types of measure relates to measuring the Irreducible Error in data. But from my understanding the "% error" is a proportional error in the sense that, for example, a 5% error of a BF of 3 means that the BF is with certainty (unclear with what certainty) somewhere between 2.85 and 3.15? Meanwhile, I understand the BER such as the proportion of times that a model lead to wrongful predictions, so that a 5% error would mean that the BF.
Hope I made enough sense to start a discussion...