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

Which app recommends videos using ML?

AI and ML helps in:

Weather app predictions are examples of?

Google Assistant is an example of:

A type of variables used in regression:

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

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

Main goal of AI:

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

Siri & Alexa is a:

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

Recommendation systems suggest what you might like based on:

Why business organizations are used AI?

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

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

When grouped or unlabeled data is arrived, we used?

Give data without any label?

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

Which of the following application of AI?

Which of the following is an example of unsupervised learning?

Confusion Matrix used parameters:

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

AI helps businesses work faster, save money, and:

Cheetay uses ML to:

Which of the following reduce Bias?

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

Data Science Algorithms are used to:

Linear Regression predicts future values based on:

Linear Regression use to show relationship between two things:

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

NLP is an example of:

AI is mostly used for:

Which of the following provide high accuracy?

Machine Learning is:

Choosing algorithm depends upon:

Supervised Learning uses labeled data to:

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

Todays technology is not about machine, it is about:

Bias in AI happens when machines:

Which of the following always need data?

ML stands for:

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

K-Means Clustering algorithm:

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

What is Artificial Intelligence (AI)?

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

Accuracy (A) tells us:

How many types of machine learning?

What is Machine Learning (ML)?

The formula for Accuracy is:

Choosing the right algorithm depends on ____

TN (True Negative) means:

Which of the following is used to make decision?

Smart assistants like Google Assistant use AI to:

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

Machine learning unfair pattern is called:

Which of the following use chatbots?

Which shows how many predictions are correct?

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

Which AI feature is used to help customer service?

Schools, Business app used:

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

In linear regression graph, y-axis shows:

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

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

In supervised learning, the machine is given data with:

Which algorithms help organizations to solve real world problems?

Who Compare its own results with correct results?

Multiple linear regression helps the computer:

Which of the following is an example of AI?

FP (False Positive) means:

AI means:

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

How many types of data science algorithm?

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

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

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

A confusion matrix shows:

Unsupervised learning is when the machine:

As compare to humans AI is:

Which applications use ML?

Think of an algorithm like:

AI means teaching machines to do tasks that usually require:

TP (True Positive) means:

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

In supervised learning, the data is:

ML is defined as:

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

Supervised learning is when the machine is trained using:

In linear regression graph, x-axis shows:

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

In unsupervised learning, the machine is given:

Which of the following is an example of AI?

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

ChatGPT is a:

To reduce bias in AI, always use:

Chatbots use AI to:

Which type of regression is used to understand complex patterns?

Unsupervised Learning uses unlabeled data to: