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AI Engineering

Classification and evaluation

Train a basic classifier and evaluate the consequences of its mistakes.

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Where this chapter sits in the course

Lessons

Chapter 18 of 25 · 6 short lessons · 22 min
  1. 1Classification models and probabilities4 min
  2. 2Confusion matrices3 min
  3. 3Precision and recall3 min
  4. 4Accuracy and class imbalance3 min
  5. 5Classification thresholds3 min
  6. 6Challenge: Classification and evaluation6 min

What you'll learn

  • Fit a basic classifier and interpret its probabilities
  • Evaluate classification errors using suitable metrics and thresholds

Your plan from this chapter

It follows the course from here, at your pace, with reviews before you forget.

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