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Machine Learning Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What are the two main categories of machine learning models?

a)

Supervised and Unsupervised

b)

Linear and Non-linear

c)

Simple and Complex

d)

Fast and Slow

2.

What is an example of a supervised learning model?

a)

K-means clustering

b)

Decision tree

c)

PCA

d)

Dimensionality reduction

3.

In supervised learning, what does the output of a regression model represent?

a)

A category

b)

A continuous value

c)

A random variable

d)

A score

4.

What does a decision tree model use to make predictions?

a)

Nodes

b)

Lines

c)

Curves

d)

Tables

5.

What type of model is a neural network inspired by?

a)

Weather patterns

b)

Human minds

c)

Animal behaviors

d)

Computer algorithms

6.

Which of the following is NOT a type of classification model?

a)

Logistic regression

b)

Support vector machine

c)

Random forest

d)

Linear regression

7.

What is the purpose of clustering in unsupervised learning?

a)

To predict future outcomes

b)

To find patterns in data

c)

To create continuous outputs

d)

To reduce dimensions

8.

What is PCA an abbreviation for?

a)

Primary Component Analysis

b)

Principal Component Analysis

c)

Predictive Component Analysis

d)

Probability Component Analysis

9.

What do we call the process of reducing the number of features in data?

a)

Data mining

b)

Clustering

c)

Dimensionality reduction

d)

Supervised learning

10.

What is the main goal of unsupervised learning?

a)

To find labeled outcomes

b)

To learn from examples

c)

To draw inferences from data

d)

To predict specific values