MCQ

Class 10 Computer Science MCQs | Evaluating Model Performance in AI & ML | Chapter 6

Evaluating Model Performance in AI and ML is an important topic from Chapter 6 of Class 10 Computer Science and Entrepreneurship according to the New Syllabus 2026 for Punjab Boards. This post provides important Class 10 Computer Science MCQs related to evaluating the performance of Artificial Intelligence (AI) and Machine Learning (ML) models. Students can practice these complete solved MCQs online to improve their understanding of model evaluation, performance measures, accuracy, and other important concepts. These questions are useful for Class 10 Punjab Board students preparing for examinations, school tests, and Computer Science assessments.

10CSE Chapter 6 6.5 Evaluating Model Performance

6.5 Evaluating Model Performance

1 / 11

Confusion Matrix used parameters:

2 / 11

FP (False Positive) means:

3 / 11

Accuracy (A) tells us:

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Model predicted Pass, and the student was pass in actual as well: Exercise Questions (Solved)

5 / 11

A confusion matrix shows:

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The formula for Accuracy is:

7 / 11

TN (True Negative) means:

8 / 11

TP (True Positive) means:

9 / 11

Which of the following is the purpose of a confusion matrix? (Analytical / Conceptual)

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Which shows how many predictions are correct?

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If TP=7, TN=5, FP=2, FN=1, the accuracy of the model is:

Your score is

The average score is 18%

0%

 

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

 

 
Select other Chapter from Class 10 Computer Science & Entrepreneurship 2026 

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