Classification and CNN Quiz

Classification and CNN Quiz

University

20 Qs

quiz-placeholder

Similar activities

Python List

Python List

4th Grade - University

15 Qs

INTERNET

INTERNET

University

20 Qs

Round 1 ( RHA Learner Contest )

Round 1 ( RHA Learner Contest )

University

20 Qs

1.1.1 The structure and function of the processor

1.1.1 The structure and function of the processor

11th Grade - University

15 Qs

Python MCQ

Python MCQ

University

20 Qs

Network topologies

Network topologies

8th Grade - University

20 Qs

Software Engineering Quiz 1

Software Engineering Quiz 1

University

20 Qs

Arduino Loop

Arduino Loop

2nd Grade - University

20 Qs

Classification and CNN Quiz

Classification and CNN Quiz

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

Rakesh MD

Used 10+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is also known as sensitivity?

Precision

Recall

F1 Score

Accuracy

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the F1 Score measure?

The ratio of true positives to the sum of true positives and false positives.

The harmonic mean of Precision and Recall.

The proportion of true results among the total number of cases examined.

The ratio of true positives to all observations in the actual class.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Accuracy in the context of classification?

The ratio of true positives to the sum of true positives and false positives.

The proportion of true results among the total number of cases examined.

The ratio of correctly predicted observations to the total observations.

The harmonic mean of Precision and Recall.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Precision measure in the context of classification models?

The ratio of correctly predicted positive observations to the total predicted positives.

The ratio of correctly predicted positive observations to all observations in the actual class.

The proportion of true results among the total number of cases examined.

The harmonic mean of Precision and Recall.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Recall measure in the context of classification models?

The ratio of correctly predicted positive observations to the total predicted positives.

The ratio of correctly predicted positive observations to all observations in the actual class.

The proportion of true results among the total number of cases examined.

The harmonic mean of Precision and Recall.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of padding in Convolutional layers?

To reduce the spatial dimensions of feature maps.

To introduce non-linearity.

To apply filters to input data.

To preserve spatial dimensions after convolution.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which parameter is not associated with Convolutional layers?

Filter size (kernel size)

Stride

Padding

Learning rate

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?