Precision, recall, F1 — which matters most in resume screening?medium

Type
conceptual
Topic
precision-recall-f1-which-matters-most-in-resume-screening
Frequency
common
Tags
machine-learning, precision, recall, which, matters, most
Answer

Precision = TP/(TP+FP), recall = TP/(TP+FN), F1 = harmonic mean.

Explanation

Precision = TP/(TP+FP), recall = TP/(TP+FN), F1 = harmonic mean. In a resume screening system, recall matters more — missing a good candidate (false negative) is costlier than surfacing a borderline one for human review. With downstream HITL review, balance with F1 and use configurable scoring weights to tune per job template.

Follow-upCan you give a production example?