A state department of transportation trained a four-class winter-road model: clear, frost, packed snow, and bridge icing. In the confusion matrix, 22 events that were actually bridge icing were labeled packed snow. Leadership wants fewer missed icing events. Which statement is correct?
Select an answer to reveal the explanation.
Short Explanation
Think of recall like a smoke alarm that must not sleep through a fire. Those 22 real icing events called packed snow are missed icing cases — false negatives — and missed cases are exactly what drag recall down. They are not "correct packed snow" hits, and swapping in RMSE would be using a measuring tape on a four-way sorting job.
Full Explanation
A false negative for a class is an actual case assigned a different label, so the 22 actual icing events called packed snow are missed icing cases and they cut recall for bridge icing. That is the miss rate leadership asked to reduce. Those events are not true positives for packed snow, and they are not false positives for icing, which would be non-icing events predicted as icing. RMSE is an error metric for numeric regression, not for this multi-class confusion matrix.