Practice Confusion Matrix - 8.5 | 8. Evaluation | CBSE Class 10th AI (Artificial Intelleigence)
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8.5 - Confusion Matrix

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are the four components of a Confusion Matrix?

💡 Hint: Remember the acronym TPFN.

Question 2

Easy

In the context of spam detection, what would a False Positive mean?

💡 Hint: Think about what happens when a legitimate message goes to spam.

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 does a True Positive signify in a Confusion Matrix?

  • Incorrect negative predictions
  • Correctly predicted positive outcomes
  • Total predictions made

💡 Hint: Think about what you are trying to identify as positive.

Question 2

True or False: A False Negative indicates a correct positive prediction.

  • True
  • False

💡 Hint: Consider if the prediction matches the reality.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset for a medical diagnosis model with the following results: 45 True Positives, 5 False Positives, 30 False Negatives, and 20 True Negatives. Calculate the accuracy, precision, and recall. Discuss the implications if the precision is low.

💡 Hint: Use the formulas consistently and consider the real-world impact of your results.

Question 2

Interpret the following Confusion Matrix: TP: 150, FP: 20, FN: 30, TN: 800. What information does this provide regarding model performance, and what strategies could you employ to improve recall?

💡 Hint: Reflect on how changing classification criteria can impact your model's performance.

Challenge and get performance evaluation