12.4.B - 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 underfitting mean in machine learning?
💡 Hint: Think about how a model performs on both training and test datasets.
Name one sign that a model is underfitting.
💡 Hint: What do you observe in performance metrics?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is underfitting in machine learning?
💡 Hint: Consider how accurately the model represents the data.
True or False: A model that underfits performs poorly on both training and test datasets.
💡 Hint: Think about the relationship between model complexity and data representation.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Given a dataset with clear nonlinear relationships, design two model strategies that could address underfitting considerations. Explain your rationale for each.
💡 Hint: Reflect on what models can capture non-linearity effectively.
Create a scenario where underfitting can significantly impact performance metrics in a business application. Describe the consequences.
💡 Hint: Think about the importance of including multiple relevant features.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.