12 - Model Evaluation and Validation Techniques
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Practice Questions
Test your understanding with targeted questions
Define accuracy in your own words.
💡 Hint: Think about how you measure performance overall.
What is the purpose of using cross-validation?
💡 Hint: Consider how we can split data effectively.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does precision measure in a classification task?
💡 Hint: Remember how precision relates to the positive predictions made.
True or False: Overfitting is when a model performs well on unseen data.
💡 Hint: Think about the training vs. testing scenarios.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
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.
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?
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