Real labels are often words, not 0 and 1. A clinic's model labels scans "malignant" or "benign". A bank's model labels payments "fraud" or "ok".
Task: write misses_and_false_alarms(y_true, y_pred, positive) and return [misses, false_alarms].
positive is the label you are trying to find, such as "fraud".positive but whose predicted label is not.positive but whose predicted label is.positive is one of them.Return both counts as whole numbers.