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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does overfitting mean in machine learning?
💡 Hint: Think about the model's memory versus understanding.
Question 2
Easy
What is underfitting?
💡 Hint: Consider how a model's complexity relates to its understanding of data.
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 is overfitting in machine learning?
- High accuracy on training data
- low on test data
- Low accuracy on both
- Good performance on training and test
💡 Hint: Focus on where the model excels and where it struggles.
Question 2
True or False: Underfitting can occur when a model is too complex.
- True
- False
💡 Hint: Revisit definitions of complexity in models.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with a linear trend, design a simplistic model for prediction. Indicate potential pitfalls of underfitting in your approach.
💡 Hint: What happens if too few features are included?
Question 2
Explain how you would diagnose a model that is suspected of overfitting. What metrics and techniques would you use?
💡 Hint: Look at evaluation strategies for any discrepancies in model performance.
Challenge and get performance evaluation