Back to search

Precision vs recall vs F1

Precision asks how many predicted positives were right, recall asks how many real positives were found, and F1 balances both.

Machine Learning Easy Theory

Precision vs recall vs F1

Precision asks how many predicted positives were right, recall asks how many real positives were found, and F1 balances both.

  • Precision avoids false positives
  • Recall avoids false negatives
  • F1 is harmonic mean

Precision vs recall vs F1