You’re building a binary classifier that checks photos of in…
You’re building a binary classifier that checks photos of insect traps for whether a dangerous invasive species is present. If the model detects the species, the entomologist (insect scientist) on duty is notified. Early detection of this insect is critical to preventing an infestation. A false alarm (false positive) is easy to handle: the entomologist sees that the photo was misclassified and marks it as such. Assuming an acceptable accuracy level, which metric should this model be optimized for?