Class 10 Computer Science Chapter 6 Full Chapter MCQs PDF Free Download | New Syllabus 2026

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

A confusion matrix shows:

What is Machine Learning (ML)?

Think of AI as the brain, and ML as the:

Which algorithms help organizations to solve real world problems?

Supervised learning is when the machine is trained using:

Machine learning unfair pattern is called:

Which of the following use chatbots?

The formula for Accuracy is:

Who Compare its own results with correct results?

Give data without any label?

When a system Learn from data and make decisions, it is called:

Supervised Learning uses labeled data to:

Siri & Alexa is a:

AI helps businesses work faster, save money, and:

In unsupervised learning, the machine is given:

Accuracy (A) tells us:

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

In linear regression graph, y-axis shows:

Which applications use ML?

FP (False Positive) means:

Which of the following reduce Bias?

Which of the following always need data?

Google Assistant is an example of:

Which AI feature is used to help customer service?

When grouped or unlabeled data is arrived, we used?

Which app recommends videos using ML?

Weather app predictions are examples of?

Which shows how many predictions are correct?

A chatbot on JazzCash is an example of: Overview / Smart Systems MCQs

Which of the following is an example of AI?

As compare to humans AI is:

Machine Learning is:

Schools, Business app used:

Which of the following is used to make decision?

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

Think of an algorithm like:

AI is mostly used for:

To reduce bias in AI, always use:

How do machines trained with data perform tasks compared to a human brain? (Analytical / Conceptual)

Which of the following is an example of a recommendation system? (Analytical / Conceptual)

Why business organizations are used AI?

Which of the following is not an example of Smart system?

How many types of data science algorithm?

Which of the following is the main goal of ML? (Analytical / Conceptual)

What is Artificial Intelligence (AI)?

If the app makes suggestions, understands your voice, answers you, or learns your habits, it uses:

Choosing algorithm depends upon:

How many types of machine learning?

Chatbots used by banks like HBL and JazzCash are an example of:

Data Science Algorithms are used to:

In linear regression graph, x-axis shows:

In supervised learning, the data is:

Cheetay uses ML to:

Which of the following help to market product in better way?

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

TN (True Negative) means:

AI means teaching machines to do tasks that usually require:

Which type of regression is used to understand complex patterns?

Which of the following is an example of supervised learning? (Analytical / Conceptual)

If the system is grouping without given answers, it is:

Unsupervised Learning uses unlabeled data to:

ChatGPT is a:

Main goal of AI:

A type of variables used in regression:

Todays technology is not about machine, it is about:

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

Which of the following does AI always need to learn? (Analytical / Conceptual)

K-Means Clustering algorithm:

Think of Supervised Learning as learning with a teacher, and Unsupervised Learning as:

Which of the following is an example of AI?

Choosing the right algorithm depends on ____

Which of the following application of AI?

ML stands for:

AI means:

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

Chatbots use AI to:

ML is defined as:

Linear Regression predicts future values based on:

Confusion Matrix used parameters:

TP (True Positive) means:

Which of the following is an example of unsupervised learning in school? (Analytical / Conceptual)

AI and ML helps in:

AI is the broader concept of machines acting smart, while ML is when machines:

Recommendation systems suggest what you might like based on:

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

Which of the following is an example of unsupervised learning?

Which of the following provide high accuracy?

Bias in AI happens when machines:

If an AI powered system makes a wrong decision, the responsibility lies with:

In the present digital era, what are smart systems able to do?

Smart assistants like Google Assistant use AI to:

In supervised learning, the machine is given data with:

Multiple linear regression helps the computer:

Linear Regression use to show relationship between two things:

NLP is an example of:

Unsupervised learning is when the machine:

Which of the following is the correct definition of AI? (Analytical / Conceptual)

Which of the following is an example of Machine Learning? (Analytical / Conceptual)