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Classification Models Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

How does human classification differ from computer classification?

a)

Humans use features, computers use algorithms

b)

Humans use senses, computers use data

c)

Humans make decisions, computers predict categories

d)

Humans are taught, computers learn

2.

If you were teaching a computer to classify colors, what would you do?

a)

Describe the colors using features

b)

Teach it color names

c)

Show it pictures of different colors

d)

Ask it to identify colors in a picture

3.

Which of the following is an example of categorical data?

a)

Weight

b)

Color

c)

Height

d)

Temperature

4.

How is classification defined?

a)

Making decisions based on data

b)

Separating data into groups

c)

Grouping data into categories

d)

Predicting a category based on other features

5.

What is the effectiveness of using features for classification?

a)

Highly effective

b)

Somewhat effective

c)

Depends on the features

d)

Not effective

6.

How do computers use classification to solve problems?

a)

By making decisions based on data

b)

By separating data into groups

c)

By analyzing data

d)

By predicting categories

7.

How many fruits will be graphed on two axes in this lesson?

a)

20

b)

15

c)

25

d)

10

8.

How do computers learn to classify data?

a)

By being taught

b)

By making decisions based on data

c)

By using their senses

d)

By analyzing data

9.

What is the purpose of this lesson?

a)

To help students learn how to classify data

b)

To discuss the use of computers in classification tasks

c)

To simulate a machine learning algorithm

d)

To teach students about classification models

10.

Do you think computers should be used for classification tasks?

a)

No, they are not reliable

b)

Yes, they can process large amounts of data

c)

No, they lack human intuition

d)

Yes, they are more accurate