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Book III · Chapter 1

Metrics, calibration, and decisions

Start with confusion counts, test probability quality, then choose an operating threshold or abstention rule.

Priority
Core
Difficulty
Foundation
Useful for
AS, MLE, RE, RS
Interview rounds
Evaluation, ML breadth

Chapter contents

6 entries · read in order
  1. 01
    Confusion matrix and classification metrics
    Concept
  2. 02
    Precision, recall, and F1
    Concept
  3. 03
    ROC, PR curves, and AUC
    Concept
  4. 04
    Calibration: when your model says 80% it should be right 80% of the time
    Concept
  5. 05
    Expected Calibration Error (ECE)
    Concept
  6. 06
    Decision thresholds, asymmetric costs, and abstention
    Concept