Practice - Advanced Supervised Learning & Evaluation
Practice Questions
Test your understanding with targeted questions
What does the ROC curve represent?
💡 Hint: Think about what happens when you change the decision threshold.
Define hyperparameters.
💡 Hint: Consider what settings might affect how a model trains but aren't changed automatically during training.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main advantage of AUC as an evaluation metric?
💡 Hint: Think about what AUC tells us about model performance regardless of the threshold set.
True or False: Increasing the complexity of a model generally prevents overfitting.
💡 Hint: Consider the balance between model fit and performance measurement.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a classification problem with highly imbalanced data, design a detailed analysis that compares performance using the ROC curve and Precision-Recall curve. What do you conclude?
💡 Hint: Think about which curve reveals more about the minority class performance.
Select a dataset, conduct a hyperparameter tuning using both Grid Search and Random Search. Explain the differences in results and efficiency.
💡 Hint: Reflect on the significance of computational efficiency alongside performance.
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Reference links
Supplementary resources to enhance your learning experience.