wayground logo

Free Printable Worksheets

NEW

Font size

S
M
L
XL
Worksheets

Machine Learning Quiz

Total questions: 30

Worksheet time: 15mins

Name
Class
Date
1.

Which of the following is NOT a type of Machine Learning?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Dependent Learning

2.

In Supervised Learning, the model is trained using:

a)

Labeled data

b)

Unlabeled data

c)

Both labeled and unlabeled data

d)

No data

3.

Which type of Machine Learning deals with rewards and penalties to learn optimal actions?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Semi-Supervised Learning

4.

Clustering is an example of:

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Transfer Learning

5.

Which of the following is a common application of Supervised Learning?

a)

Anomaly Detection

b)

Image Classification

c)

Dimensionality Reduction

d)

Data Clustering

6.

A spam detection email system is an example of which type of learning?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

None of the above

7.

Which of the following is a typical use case for Unsupervised Learning?

a)

Sentiment Analysis

b)

Market Segmentation

c)

House Price Prediction

d)

Medical Diagnosis

8.

What is the main goal of Reinforcement Learning?

a)

Classify data into categories

b)

Cluster data into groups

c)

Learn by interacting with an environment and maximizing rewards

d)

Reduce the number of features

9.

Which Machine Learning type can work with both labeled and unlabeled data?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Semi-Supervised Learning

d)

Reinforcement Learning

10.

Which of the following is NOT an application of Machine Learning?

a)

Voice Recognition

b)

Weather Forecasting

c)

Sorting numbers in an array

d)

Fraud Detection

11.

Which of the following algorithms is commonly used in Supervised Learning?

a)

K-Means Clustering

b)

Linear Regression

c)

Principal Component Analysis (PCA)

d)

Apriori Algorithm

12.

Dimensionality Reduction is a task commonly associated with:

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Semi-Supervised Learning

13.

Which of the following is an example of a classification problem in Supervised Learning?

a)

Predicting the price of a house

b)

Predicting whether an email is spam or not

c)

Grouping customers based on purchasing behavior

d)

Finding patterns in unlabeled data

14.

In Unsupervised Learning, the data used for training is:

a)

Fully labeled

b)

Partially labeled

c)

Not labeled

d)

Structured

15.

Which of the following is a well-known algorithm used in Unsupervised Learning?

a)

Decision Trees

b)

K-Means Clustering

c)

Logistic Regression

d)

Support Vector Machines (SVM)

16.

Which of these tasks can be solved using Reinforcement Learning?

a)

Image Recognition

b)

Video Game Playing AI

c)

Grouping similar documents

d)

Predicting customer churn

17.

Which type of learning typically deals with finding a decision boundary between different classes?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Self-Learning

18.

Anomaly detection (detecting unusual patterns) is most commonly associated with:

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Semi-Supervised Learning

19.

Which of the following is a real-world application of Reinforcement Learning?

a)

Predicting stock prices

b)

Self-driving cars

c)

Detecting spam emails

d)

Grouping users based on website behavior

20.

Which learning type is best suited for problems where a reward is given based on actions taken?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Semi-Supervised Learning

21.

A recommendation system that suggests movies based on user preferences is an example of:

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Hybrid Learning

22.

Which of the following best describes 'Label Propagation'?

a)

A Supervised Learning algorithm

b)

A Semi-Supervised Learning technique

c)

A Reinforcement Learning method

d)

A feature selection method

23.

Which of these is NOT a real-world application of Supervised Learning?

a)

Predicting customer churn

b)

Grouping similar items in a dataset

c)

Handwriting recognition

d)

Face detection in images

24.

Principal Component Analysis (PCA) is primarily used for:

a)

Classification

b)

Dimensionality Reduction

c)

Regression

d)

Reinforcement

25.

Which type of learning is most likely to be used for solving 'Market Basket Analysis' (identifying products bought together)?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Semi-Supervised Learning

26.

Which Machine Learning type is most commonly used in chatbots and virtual assistants?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Hybrid Learning

27.

A machine learning model that predicts the future temperature based on past data is an example of:

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Semi-Supervised Learning

28.

Which of the following would be the best algorithm for clustering users based on their shopping behavior?

a)

Linear Regression

b)

K-Means

c)

Random Forest

d)

Naive Bayes

29.

A computer playing chess and improving based on rewards or penalties is an example of:

a)

Unsupervised Learning

b)

Reinforcement Learning

c)

Supervised Learning

d)

Semi-Supervised Learning

30.

Which of the following is a popular Semi-Supervised Learning technique?

a)

Logistic Regression

b)

Label Spreading

c)

Decision Tree

d)

Support Vector Machine