Machine Learning Techniques 2025

Machine Learning Techniques 2025

University

20 Qs

quiz-placeholder

Similar activities

II MCA ASP.NET ONLINE QUIZ

II MCA ASP.NET ONLINE QUIZ

University

15 Qs

IT 209

IT 209

University

15 Qs

IT (data, viruses and more)

IT (data, viruses and more)

8th Grade - Professional Development

20 Qs

PHP First Internal Practical Viva

PHP First Internal Practical Viva

University

20 Qs

Quiz on neural network unit II

Quiz on neural network unit II

University

16 Qs

GIS Unit-1

GIS Unit-1

University

15 Qs

Computer Architecture Unit 3

Computer Architecture Unit 3

University

15 Qs

Machine Learning Techniques 2025

Machine Learning Techniques 2025

Assessment

Quiz

Computers

University

Medium

Created by

Dr. 973

Used 1+ 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

What is the goal of the Find-S algorithm in machine learning?

Find the smallest dataset

Find the most general hypothesis

Find the most specific consistent hypothesis

Find the nearest neighbors

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which linkage method in hierarchical clustering uses the minimum distance between clusters?

Complete Linkage

Average Linkage

Single Linkage

Ward’s Method

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In K-Medoids clustering, medoids are:

Mean of cluster points

Random points outside the dataset

Actual data points within the cluster

Center of mass of points

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the decision boundary in logistic regression?

A region with maximum margin

A point where the output probability is 0.5

A cluster centroid

The mean of all outputs

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an unsupervised learning method?

Logistic Regression

Decision Tree

K-Means Clustering

Naive Bayes

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In neural networks, the role of an activation function is to:

Add bias to input

Introduce non-linearity

Normalize the weights

Adjust the learning rate

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which one is an ensemble learning method that combines multiple decision trees?

Support Vector Machine

Random Forest

K-Means

Perceptron

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?

Discover more resources for Computers