INTERACTIVE · DATA SCIENCE · LEARN. PRACTISE. BUILD.

AI model evaluation lab

Use a small fictional sensor dataset to see how an AI-style prediction rule changes its output. Learn what accuracy can and cannot tell you.

Interactive threshold experiment

This deliberately small synthetic dataset contains fictional sensor readings and example yes/no outcomes. Move the decision threshold to see how the model makes different mistakes. This is a rule-based demonstration of classification metrics, not a trained machine-learning model. All calculations run in your browser.

IDSensor scoreActual: needs attention?Prediction?

Challenge and next step

  • Test thresholds 40, 55, 70 and 85. Write down the four counts for each.
  • Decide what you would prioritise if a missed positive had a bigger impact than a false alarm.
  • Explain why this experiment is not enough to justify deploying a real system.