Practice Accuracy (28.4.1) - Introduction to Model Evaluation - CBSE 10 AI (Artificial Intelleigence)
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Accuracy

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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