Understanding AC_errorRate loss function
From my understanding, this loss type means:


you define a threshold percentage error (let’s say 2%)
for each true value y, the desired prediction should be between y + 0.02*y and y - 0.02*y
the percentage of predicted values fulfilling the rule above contribute to the “inliers” predictions, I.e., good predictions


This idea reminds me to what RANSAC does