Practice ROC Curve and AUC - 12.7 | 12. Evaluation Methodologies of AI Models | CBSE Class 12th AI (Artificial Intelligence)
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does ROC stand for?

💡 Hint: Think about the name of the curve.

Question 2

Easy

What does the AUC represent?

💡 Hint: Consider it as the area under a graph.

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 ROC Curve used for?

  • To plot data points
  • To visualize True vs. False positive rates
  • To calculate F1 scores

💡 Hint: Remember what ROC stands for.

Question 2

True or False: An AUC of 1 means a model is performing poorly.

  • True
  • False

💡 Hint: Consider what AUC measures.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have two models with ROC Curves. Model A has an AUC of 0.9 and Model B has 0.7. You are tasked to present these findings. Discuss your recommendation.

💡 Hint: Focus on the AUC values while comparing models.

Question 2

Using a dataset, properly plot the ROC Curve and calculate the AUC. Analyze the curve and discuss how you would approach adjusting model thresholds.

💡 Hint: Think about how adjustments in the classification cut-off influence model performance.

Challenge and get performance evaluation