You’re welcome and not snarky at all. I am not sure you work with commercially-driven ML projects? It really depends on the metrics only. I can’t trust a ML bla

You’re welcome and not snarky at all. I am not sure you work with commercially-driven ML projects? It really depends on the metrics only. I can’t trust a ML black box for cancer screening (both false negatives and false positives have a big cost) or complex industrial failures (stopping a plant starts a lot of expensive compensating manouvres) but nobody sane in his mind has a real problem with 88, 90 or 92% accuracy for online retail recommenders (all the field is a kind of magic beyond a certain baseline and money never earned is not money lost from a bookkeeping perspective) or language translation (which is still human-proofed wherever it gets legal value of any kind). Hope I made my point clearer. Cheers.