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Introduction to Artificial Intelligence — The TextbookCompanion to AI 101 →
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  1. ·About This Book & Setup
  2. 1What Is AI? History, Hype and the Five Big Ideas
  3. 2Thinking as Search: Problem Solving, Games and Planning
  4. 3Knowledge, Logic and Rules
  5. 4Uncertainty and Probability: How AI Makes Good Guesses
  6. 5Data and Machine Learning Basics
  7. 6Measuring Models: Regression, Errors and Overfitting
  8. 7Neural Networks and Deep Learning
  9. 8Seeing and Hearing: Computer Vision and Speech
  10. 9Language and Large Language Models
  11. 10Running AI on Your Own Computer: Ollama and Open Models
  12. 11Building AI Apps: A Web App and a Desktop App
  13. 12Agents, Robots and Learning from Rewards
  14. 13Responsible AI: Bias, Privacy, Safety, Law and Honesty
  15. 14AI, Society and Your Future
  16. 15Capstone Guide: Build, Test and Present Your AI App
  17. 16Glossary & Re-Verification Checklist

Chapter 6 · updated 3 Oct 2026

Measuring Models: Regression, Errors and Overfitting

Supports Week 6: Measuring Models: Regression, Errors and Overfitting · Outcomes CO2

Model evaluation & overfitting

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