Practice / Data & AI

Confusion matrix: precision, recall, F1

Easy · Whiteboard

A classifier on 1,000 emails gives: 40 true positives, 10 false positives, 20 false negatives, 930 true negatives. Draw the confusion matrix and compute accuracy, precision, recall and F1. Which matters most for a spam filter?

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