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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 of a graph that illustrates model diagnostics.
Question 2
Easy
Define Precision in the context of classification models.
💡 Hint: Consider it a measure of correctness for positive predictions.
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 AUC measure in context of model evaluation?
- Accuracy of model
- Area Under the Curve
- True Positive Rate
💡 Hint: Think about the curve's area and what it signifies.
Question 2
True or False: Precision is more important than Recall in every classification task.
- True
- False
💡 Hint: Consider scenarios like fraud detection.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a highly imbalanced dataset for a medical diagnosis problem. Describe how you would choose the model evaluation metrics and justify your selections.
💡 Hint: Consider the implications of false positives in medical diagnoses.
Question 2
Assign values to hyperparameters for a Support Vector Machine, and explain how to test their impact systematically.
💡 Hint: Reflect on how model complexity varies with hyperparameters.
Challenge and get performance evaluation