Practice True Negative (TN) - 29.2.2 | 29. Model Evaluation Terminology | CBSE Class 10th AI (Artificial Intelleigence)
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29.2.2 - True Negative (TN)

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does True Negative (TN) refer to in machine learning?

💡 Hint: Think about what it means to be 'correct' in 'predicted NO'.

Question 2

Easy

Provide an example of a True Negative?

💡 Hint: Consider a context where you check for a specific condition.

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 True Negative (TN) indicate in model evaluation?

  • Correct predictions of negative cases
  • Incorrect predictions of positive cases
  • Correct predictions of positive cases

💡 Hint: Remember the definition factors in actual outcomes.

Question 2

In a confusion matrix, where do we find True Negatives?

  • Top right
  • Bottom left
  • Bottom right

💡 Hint: Visualize the layout of the confusion matrix you're familiar with.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Suppose a model is used for diagnosing a disease with the following confusion matrix: TP = 50, TN = 30, FP = 5, FN = 15. Determine the model's accuracy and explain its implications.

💡 Hint: Use the accuracy formula and remember what the elements represent.

Question 2

Discuss a scenario where a low TN could lead to negative consequences in healthcare, detailing potential outcomes.

💡 Hint: Think about the consequences of incorrect medical diagnoses.

Challenge and get performance evaluation