Grade 11 · Computing
This quiz helps revise “Machine learning” in Computing for grade 11. It has 25 questions in five categories: ML Basics, Learning Types, Data & Quality, Models & Algorithms, Ethics & Risks. Questions get harder as the points go up, from 100 to 500.
The 100- and 200-point questions are open here. The rest show only their first words, and there are no answers: all of that is in the game itself.
Machine learning is a subfield of what broader field?
What is an input characteristic of an example that a model uses to make a prediction called?
What is the known…
In the gameWhat is a model's…
In the gameWhat problem occurs when…
In the gameWhat type of learning uses examples with known correct outputs?
What type of learning searches for structure in data without provided labels?
What task requires a…
In the gameWhat task predicts…
In the gameWhat type of learning…
In the game
Which portion of data is held back for the final evaluation of a model on unseen examples?
Which dataset is used during development to choose models and tune hyperparameters?
What is it called…
In the gameWhat problem occurs when…
In the gameWhat technique penalizes excessive…
In the gameWhich model makes predictions through a sequence of branching conditions?
Which method predicts a class using the labels of the closest training examples?
Which method models a…
In the gameWhich clustering algorithm assigns…
In the gameWhat function introduces nonlinearity…
In the game
What risk can increase when training data systematically underrepresents a particular group?
Which trustworthiness property is protected by limiting disclosure of personal data?
Which property helps people…
In the gameWhat is the ability…
In the gameWhat attack deliberately inserts…
In the gameAll 25 questions and the answers are in the game. Invite your class or friends with a link — guests need no account.