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Worksheets

Session 5 | U

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is machine learning?

a)

A) A method to manually program tasks

b)

B) A subset of AI that allows computers to learn from data

c)

C) A new programming language

d)

D) A type of hardware used in AI

2.

Which of the following is a type of machine learning?

a)

A) Supervised learning

b)

B) Unsupervised learning

c)

C) Reinforcement learning

d)

D) All of the above

3.

In supervised learning, the algorithm learns from:

a)

A) Unlabeled data

b)

B) Labeled data

c)

C) No data

d)

D) Random data

4.

Which of the following is an example of supervised learning?

a)

A) Clustering

b)

B) Classification

c)

C) Dimensionality reduction

d)

D) Association

5.

What is linear regression used for?

a)

To classify data into categories

b)

To cluster data points

c)

To predict a continuous target variable

d)

To perform dimensionality reduction

6.

In linear regression, the relationship between the dependent variable and independent variable is assumed to be:

a)

A) Non-linear

b)

B) Random

c)

C) Linear

d)

D) Quadratic

7.

Which of the following is the formula for a simple linear regression model?

a)

A) y=mx+b

b)

B) y=ax^2+bx+c

c)

C) y=x^1

d)

D) y=log(x)

8.

What is the 'm' in the linear regression formula y=mx+b?

a)

A) Intercept

b)

B) Dependent variable

c)

C) Independent variable

d)

D) Slope of the line

9.

Which metric is commonly used to evaluate the performance of a linear regression model?

a)

A) Accuracy

b)

B) Confusion matrix

c)

C) Mean Squared Error (MSE)

d)

D) Precision

10.

What is the primary goal of unsupervised learning?

a)

To predict future outcomes

b)

To find hidden patterns in data

c)

To maximize rewards

d)

To sort data in a predetermined way