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Year 9 - Computing

Improving a model

Machine learning using the micro:bit

Unit Summary

This unit is designed to develop pupils programming skills in a new engaging context: physical computing, using the BBC micro:bit. They will get acquainted with the host of components built into the micro:bit, and write simple programs that use these components to interact with the physical world.

Lesson Summary

You will learn to make changes to how your model is trained to improve the accuracy of the output.

Key Notes

  • Data cleaning can remove outliers so the model "learns" real patterns instead of noise.
  • False positives occur when data is misclassified.
  • Creating a null class reduces the chances of misclassification.

Vocabulary To Learn

  • misclassification: when a model predicts the wrong class for a sample
  • data cleaning: the process of detecting and correcting, or removing, corrupt or inaccurate data from a data set
  • noise: unwanted or random variations in data that don't represent meaningful patterns
  • false positive: a sample that has been incorrectly classified

Common Mistakes To Avoid

  • More data is always better as it means the model can be better informed to make a prediction.

3 Quick Questions (With Answers)

1. Describe the system or process from this lesson in clear steps.

Data cleaning can remove outliers so the model "learns" real patterns instead of noise. False positives occur when data is misclassified.

2. Define this computing term and give one practical example. 'misclassification'

when a model predicts the wrong class for a sample. Add one real device or system example to prove understanding.

3. Correct this common computing misconception.

Mistake: More data is always better as it means the model can be better informed to make a prediction. Correction: Poorly labelled or inconsistent data can make a model's predictions inaccurate. It is better to use a smaller amount of higher quality data to make more accurate predictions.

More Lessons In This Unit

Browse all guides in the Year 9 Computing guide library.