Practice Definition - 7.5.1 | 7. AI Project Cycle | CBSE Class 12th AI (Artificial Intelligence)
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7.5.1 - Definition

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is accuracy in the context of AI evaluations?

💡 Hint: Think about total predictions against correct one.

Question 2

Easy

Define precision.

💡 Hint: Focus on how precise the positive predictions are.

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 accuracy measure in an AI model?

  • The ratio of true positives to total predictions
  • The ratio of correct predictions to total predictions
  • The ability of the model to recall actual positives

💡 Hint: It relates to the total number of predictions made.

Question 2

True or False: The F1 Score is a metric that combines precision and recall.

  • True
  • False

💡 Hint: Think about the relationship between precision and recall.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A healthcare AI predicts disease presence. Given the following results: True Positives = 80, False Positives = 20, True Negatives = 150, False Negatives = 10. Calculate the model's accuracy, precision, recall, and F1 Score.

💡 Hint: Use formulas for metrics while calculating.

Question 2

A model has high accuracy (95%) but a very low recall (25%). Discuss the potential risks of deploying such a model in a security system that detects intrusions.

💡 Hint: Think about the security implications of missing potential intrusions.

Challenge and get performance evaluation