I don't know how many of you are familiar with Kaggle competitions, but the winning scores on the leaderboards can come down to 0.0001 points of accuracy or les

I don't know how many of you are familiar with Kaggle competitions, but the winning scores on the leaderboards can come down to 0.0001 points of accuracy or less. Winning something like that with an explainable model is like having one hand tied behind your back. If tiny fractions of a point matter (the rare case), then making the model explainable is adding a ton of complexity for little practical gain. It sounds nice, but the numbers are unforgiving