Precision & Recall
Long-tail route · model metrics
Use this when threshold tradeoffs should feel operational instead of textbook.
Classification-metrics explainer that links confusion matrix outcomes to precision/recall tradeoffs.
At a glance
Live interactive
The maintained version lives at the route linked here, with this garden note keeping the embed and editorial framing.
Best companion
Pair it with [[ROC-AUC]] when you want the sibling threshold view after precision and recall start to feel intuitive.
Time and level
About 8 to 12 minutes. Beginner friendly. A short metrics route that works well before longer classifier notes.
Reading path
- Open the live interactive: https://kohnnn.github.io/interactive-explanation/precision-recall/
- Continue through ROC-AUC or Logistic-Regression when you want the next evaluation-and-classification route
- Move through the local archive via Interactive or Visual Notes