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Level 5 of 11 · AI Basics lab

Is it any good? Catches, false alarms and the threshold

Level 5 of 11 in the AI Basics lab: a free AI basics exercise at Intermediate level, which takes about 15 minutes. See why 99 percent can mean nothing, then set a threshold on a real model to catch faulty parts without too many false alarms.

15 minIntermediateNot started

Goal

See why 99 percent can mean nothing, then set a threshold on a real model to catch faulty parts without too many false alarms.

Done when

The acceptance test marks the skills this level practises.

  • Accuracy and its limits
  • Threshold
  • False alarms and misses

Skills

  • Accuracy and its limits
  • Threshold
  • False alarms and misses

Before you start

Level 4, Watch a model learn, then watch it memorise, comes first. Do it first if the ideas are new to you.

Start Is it any good? Catches, false alarms and the thresholdSee all 11 levels

Free, in your browser, nothing to install. Your work is saved on this device. Updated 1 Nov 2026.

11 levels

Levels in the AI Basics lab

Learn what AI is by playing with it: teach a camera, watch a model learn, test it and check it is fair.

  1. Start What is AI? Rules or learning from examples
  2. Start Teach a camera to spot a dented part
  3. Start Data and labels: what we see and what we want to say
  4. Start Watch a model learn, then watch it memorise
  5. Start Is it any good? Catches, false alarms and the threshold
  6. Start Is it fair? Check a CV screen for a hidden proxy
  7. Start Words become numbers: tokens and a meaning map
  8. Start How a chatbot picks its next word
  9. Start Answer from a manual: retrieval with sources
  10. Start An AI agent at work: tools and guardrails
  11. Start Ship it and watch it: drift and a model card
Previous level 4Watch a model learn, then watch it memoriseNext level 6Is it fair? Check a CV screen for a hidden proxy

Part of the AI Basics lab

Learn what AI is by playing with it: teach a camera, watch a model learn, test it and check it is fair.

Feeds these internships (training, not employment): AI and Machine Learning, Data Science and Analytics, Generative AI and Prompt Engineering, AI Agents and Automation, Computer Vision, AI for Finance and Accounting, AI for HR and Recruitment, AI for Digital Marketing and Content, AI in Healthcare and Pharma, AI for Project Management.

About the AI Basics lab

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