Practice Steps in Modelling - 2.4.2 | 2. AI PROJECT CYCLE | CBSE Class 9 AI (Artificial Intelligence)
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Typing
Memory
Math
English Adventures
Knowledge

2.4.2 - Steps in Modelling

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is modelling in the AI Project Cycle?

💡 Hint: Think about the learning process of AI.

Question 2

Easy

Name one algorithm used for classification tasks.

💡 Hint: Consider algorithms that categorize information.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the purpose of modelling in AI?

  • A) To explore data
  • B) To train an AI model using prepared data
  • C) To acquire data
  • D) To evaluate the model

💡 Hint: Think about what happens after data has been collected.

Question 2

True or False: Testing is not necessary if the training data is large enough.

  • True
  • False

💡 Hint: Consider the importance of evaluating even well-trained models.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a detailed experimental setup for training an AI model to predict credit scores based on user financial data. Include the types of algorithms you would consider and why.

💡 Hint: Consider what data features would contribute significantly to predicting an outcome.

Question 2

Critically analyze a scenario where deploying a poorly trained AI model could have real-world consequences. Discuss how to circumvent that situation during the modelling phase.

💡 Hint: Think about the ethical implications and necessary steps during the training and testing phases.

Challenge and get performance evaluation