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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define accuracy in your own words.
💡 Hint: Think about how you measure performance overall.
Question 2
Easy
What is the purpose of using cross-validation?
💡 Hint: Consider how we can split data effectively.
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 precision measure in a classification task?
- True positives only
- True positives and false negatives
- True positives divided by the sum of true positives and false positives
💡 Hint: Remember how precision relates to the positive predictions made.
Question 2
True or False: Overfitting is when a model performs well on unseen data.
- True
- False
💡 Hint: Think about the training vs. testing scenarios.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given an imbalanced dataset with a class ratio of 95:5, outline a plan to assess the model’s performance effectively.
💡 Hint: Consider impacts of accuracy versus other metrics.
Question 2
Design an experiment using nested cross-validation to both tune hyperparameters and evaluate a model. Describe your process.
💡 Hint: How do inner and outer loops interact?
Challenge and get performance evaluation