Model Training & Evaluation
What model training & evaluation means
Train/test splits, overfitting, metrics and common algorithms.
Before you start
Not confident yet? Work through Models and Evaluation first.
Worked example
One question from this skill's own question bank, shown with its full working.
Data is split into training and test sets to:
- save memory
- estimate performance on unseen data
- speed up training
- remove outliers
Working: The held-out test set simulates new data the model has never seen.
Curriculum and exam alignment
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
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Practise model training & evaluation
8 questions with a worked answer after every attempt, and a SmartScore that tracks how close you are to mastery.