MCQ

Class 10 Computer Chapter 6 | Supervised & Unsupervised Learning Algorithm MCQs 2026

Supervised and Unsupervised Learning Algorithms in Machine Learning are important topics from Chapter 6 of Class 10 Computer Science and Entrepreneurship according to the New Syllabus 2026 for Punjab Boards. In this post, students can practice complete solved MCQs related to supervised learning and unsupervised learning algorithms in machine learning. These questions help students understand the basic concepts, differences, applications, and working of supervised and unsupervised learning. This online MCQs practice is especially useful for Class 10 Computer Science students preparing for Punjab Board examinations, school tests, and other assessments.

10CSE Chapter 6 6.4 Supervised and Unsupervised Algorithm

6.4 Supervised and Unsupervised Algorithm

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Multiple linear regression helps the computer:

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Choosing algorithm depends upon:

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Which algorithm would you use to group customers based on shopping behavior? (Analytical / Conceptual)

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Linear Regression predicts future values based on:

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Decision Trees use a tree-like model to make decisions based on:

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Predicting student test scores from study hours is an example of:

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Which of the following is used to make decision?

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Simple linear regression uses how many independent variable(s) to predict one outcome?

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A type of variables used in regression:

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How many types of data science algorithm?

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Choosing the right algorithm depends on ____

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In linear regression graph, x-axis shows:

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Which algorithms help organizations to solve real world problems?

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Which type of regression is used to understand complex patterns?

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K-Means Clustering algorithm:

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Think of an algorithm like:

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Data Science Algorithms are used to:

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In linear regression graph, y-axis shows:

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Linear Regression use to show relationship between two things:

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Computer Science and Entrepreneurship 10th Class New Syllabus 2026 MCQs with Answers

 
Chapter 6 Introduction to AI and Machine Learning
[Tech ICT Group (Chapter 5) and Simple Computer Science Group]

6.1 Overview of AI and ML

6.2 Machine Learning Types

6.3 Practical Applications of AI and ML

6.4 Supervised and Unsupervised Algorithm

6.5 Evaluating Model Performance

Complete Exercise Solution

Complete Chapter MCQs

 

 
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