Data Science

Model Evaluation

Advanced judgment in evaluating model accuracy under ambiguous and high-stakes conditions.

Goal:

Learn how accuracy is measured.

3Lessons

6Micro-lessons

AdvancedDifficulty

Lesson 1

Judging accuracy when metrics conflict or mislead.

Start2 Micro-lessons

Micro lesson 1

Metric Overlap Blindness

Micro lesson 2

False Stability Signals

Lesson 2

Recognizing hidden costs and delayed effects when choosing models.

Start2 Micro-lessons

Micro lesson 1

Cost of Overfitting Ignored

Micro lesson 2

Premature Model Switching

Lesson 3

Maintaining judgment when stakes and uncertainty are high.

Start2 Micro-lessons

Micro lesson 1

Judgment Drift Under Stress

Micro lesson 2

Restraint in Uncertain Feedback