Computing

Question 1

1Supervised learning trains a model using

Hard

A. no data B. unlabelled data only C. labelled examples with known answers D. random guesses only

Question 2

2Predicting a numerical value is called ___.

Hard

Your answer (fill in the blank)

Question 3

3A model that predicts a number, such as the price of a house, is doing

Hard

A. encryption B. clustering C. classification D. regression

Question 4

4Algorithmic bias can occur when

Hard

A. training data does not represent all groups fairly B. the computer is new C. the code has comments D. the screen is small

Question 5

5Accuracy of a classification model is

Hard

A. the proportion of predictions that are correct B. the size of the dataset C. the number of layers D. the speed of the CPU

Question 6

6A neural network is

Hard

A. a firewall B. a type of database C. a model made of layers of connected nodes inspired by the brain D. a computer network cable

Question 7

7Reinforcement learning uses rewards and penalties.

Medium

A. True B. False

Question 8

8Data is usually split into training and test sets so that

Hard

A. the model trains twice as fast B. the model can be evaluated on data it has not seen C. labels are removed D. less data is needed

Question 9

9Neural networks are made of layers of connected nodes.

Medium

A. True B. False

Question 10

10Unsupervised learning is used to

Hard

A. replace all programming B. find patterns or groups in unlabelled data C. learn only from labelled answers D. store files