Precision is the fraction of positive predictions that are actually positive. Recall is the fraction of actual positives that were correctly identified. F1 is their harmonic mean. Which matters depends on the cost of each type of error.
What is the difference between precision recall and F1 score — and when does each matter?
Precision is the fraction of positive predictions that are actually positive. Recall is the fraction of actual positives that were correctly identified. F1 is their harmonic mean. Which matters depends…
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What is the difference between precision recall and F1 score — and when does each matter?
COVER // WHAT IS THE DIFFERENCE BETWEEN PRECISION RECALL AND F1 SCORE — AND WHEN DOES EACH MATTER?
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