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Data Science Academy · Lesson

Precision, Recall, and F1

Trading off the kinds of mistakes.

Why Accuracy Falls Short

When one class is rare, accuracy can look great while the model misses everything that matters. You need sharper metrics like precision and recall. 🎯

Precision Defined

Precision asks: of all the cases I flagged as positive, how many were truly positive? It measures how trustworthy a yes really is.

precision = TP / (TP + FP)

All lessons in this course

  1. Regression Metrics: MAE, MSE, R2
  2. The Confusion Matrix Decoded
  3. Precision, Recall, and F1
  4. ROC, AUC, and Thresholds
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