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DigiTransact Mastermind
Data Science & AIMachine Learning Basics

Models and Evaluation

University 6 questions
AI-drafted from platform data — specialist review scheduledBy DigiTransact Mastermind editorial team
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What models and evaluation means

Building and checking models.

Before you start

Not confident yet? Work through Introduction to Machine Learning first.

Worked example

One question from this skill's own question bank, shown with its full working.

Question

Data used to teach a model is called the

  • training data
  • cooking data
  • road data
  • sky data
Answer: training data

Working: Training data is used to fit the model.

Curriculum and exam alignment

Tertiary foundation coursework

Curriculum notes are a general guide to where this work normally sits. Always check the syllabus your school or examination body is currently using.

Related skills

Other Machine Learning Basics skills in Data Science & AI, at the same point in the course.

Other Data Science & AI topics

Related study guides

How this page was produced

This text was drafted with AI assistance from the questions and topics already stored on the platform. A subject-specialist review is scheduled but has not yet been recorded, so we do not claim it here.

Written by
DigiTransact Mastermind editorial team
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Practise models and evaluation

6 questions with a worked answer after every attempt, and a SmartScore that tracks how close you are to mastery.

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