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Item 300 of 426 · Year 12: Software Automation, 7 of 35
Supervised learning
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Definition
Training on labelled data (inputs paired with correct outputs) so the model can predict the label for new data.
Example: Photos labelled cat or dog train an image classifier.
Found in: syllabus, 2025 HSC marking guidelines, sample exam and familiarisation guidelines, school notes.
Learn from labelled data.
Where you'll use it in the test
Syllabus area: Y12 Software Automation.
Question types it can appear in
- Multiple choice: 2025 Q3
- Matching or table: Match it to its description, example or category.
- Short answer: Define, outline or explain it and tie it to the scenario.
- Fill in the blanks: Choose this term to complete a statement or table.
Where it has appeared in the paper
Software Automation (Part A). Part letters follow each paper’s own layout.
Related past questions
- 2025 HSC Q3 (1 mark): Machine learning training Software Automation (Part A) · 1 mark
How to use it
A model sentence
“Training on labelled data (inputs paired with correct outputs) so the model can predict the label for new data.” Then apply it: Photos labelled cat or dog train an image classifier.
In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.
Command words used with it
- Identify: Recognise and name. (2025 HSC Q3 (1 mark): Machine learning training)
Go deeper
- Flashcard: Supervised learning in Software Automation (Year 12) · study that set
- Memorise: Models of training ML
- Key terms bank entry: Supervised learning
- Notes: Explore models of training ML, including supervised learning, unsupervised learning,… (Software Automation (Year 12))
- Notes: Models of training ML (Software Automation (Year 12))
- Master answer: sample-q23b (3 marks, short answer (compare, max 75 words)) (Master model answers: Software Automation)
- Full term page: every question, note and marking comment for Supervised learning
Check yourself
Explain “Supervised learning” in one sentence, give an example, and name a question type that could test it.
Reveal the answer
Training on labelled data (inputs paired with correct outputs) so the model can predict the label for new data.
Example: Photos labelled cat or dog train an image classifier.
Could be tested as: Multiple choice, Matching or table, Short answer, Fill in the blanks.