Practice Underfitting - 12.4.B | 12. Model Evaluation and Validation | Data Science Advance
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12.4.B - Underfitting

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does underfitting mean in machine learning?

💡 Hint: Think about how a model performs on both training and test datasets.

Question 2

Easy

Name one sign that a model is underfitting.

💡 Hint: What do you observe in performance metrics?

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 underfitting in machine learning?

  • A model performing excellently on training data only
  • A model that is too simple to capture data trends
  • A model that overfits the training data

💡 Hint: Consider how accurately the model represents the data.

Question 2

True or False: A model that underfits performs poorly on both training and test datasets.

  • True
  • False

💡 Hint: Think about the relationship between model complexity and data representation.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation