A tool library packs a loaner drill only if a member is predicted to pick it up. A wasted packed box and a missed true no-show both hurt. Leadership wants one blended score for this yes-or-no call, not a regression error number. Which metric should they use?
Select an answer to reveal the explanation.
Short Explanation
Think of packing a drill that nobody picks up versus missing a true no-show. F1 is the blended score that only looks good when both of those hurts are under control. RMSE is a measuring tape for numbers, accuracy can hide a lopsided tradeoff, and GPU loss is not the business number.
Full Explanation
F1 is the harmonic mean of precision and recall, so it rises only when both wasted packs and missed no-shows are controlled. RMSE measures numeric regression error and does not fit a yes-or-no pickup call. Accuracy can hide a lopsided tradeoff between those two errors. GPU training loss is a fitting statistic, not the business score leadership asked for.