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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
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the ROC Curve used for?
💡 Hint: Remember what ROC stands for.
Question 2
True or False: An AUC of 1 means a model is performing poorly.
💡 Hint: Consider what AUC measures.
Solve 1 more question and get performance evaluation
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