28.5 - Overfitting and Underfitting
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does overfitting mean in machine learning?
💡 Hint: Think about the model's memory versus understanding.
What is underfitting?
💡 Hint: Consider how a model's complexity relates to its understanding of data.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is overfitting in machine learning?
💡 Hint: Focus on where the model excels and where it struggles.
True or False: Underfitting can occur when a model is too complex.
💡 Hint: Revisit definitions of complexity in models.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
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?
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.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.