Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Artificial Intelligence › Machine Learning & Data › Classification

Precision

concept · part of Classification

Proportion of positive predictions that are correct; important when false positives are costly.

Precision = True Positives / (True Positives + False Positives). Important when minimizing false positives is critical, e.g., spam detection, fraud detection.

High precision means fewer false positives.

Connections

• Related to Recall
• Related to F1 score
• Builds on Confusion matrix

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