Practice Accuracy - 28.4.1 | 28. Introduction to Model Evaluation | CBSE Class 10th AI (Artificial Intelleigence)
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

28.4.1 - Accuracy

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 the formula for calculating accuracy?

💡 Hint: Think about how we assess the prediction results.

Question 2

Easy

Why is accuracy important in model evaluation?

💡 Hint: Consider why we need to assess model performance.

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 formula for accuracy?

  • Correct Predictions / Total Predictions
  • Total Predictions / Correct Predictions
  • Correct + Incorrect / Total Predictions

💡 Hint: Remember the basic formula we discussed.

Question 2

True or False: Accuracy is the best metric for evaluating all machine learning models.

  • True
  • False

💡 Hint: Think about our discussion on class balance.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Imagine you have a dataset of 1000 images, where 900 are cats and 100 are dogs. If your model predicts every image as a cat, what is the accuracy, and why might this be a poor predictor of performance?

💡 Hint: Consider the impact of imbalanced data on your calculation.

Question 2

Develop a scenario where a machine learning model achieves high accuracy but fails to meet the needs of stakeholders. Describe the metric alongside accuracy that would provide a complete picture in this instance.

💡 Hint: Relate back to how we evaluate all aspects of performance.

Challenge and get performance evaluation