Practice Underfitting - 1.3.3 | 1. Learning Theory & Generalization | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is underfitting?

πŸ’‘ Hint: Think about what happens if your model doesn't account for complexity.

Question 2

Easy

Give an example of a model that might underfit.

πŸ’‘ Hint: Consider simple models on complex data patterns.

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 does underfitting indicate?

  • High accuracy on training data
  • High error on training and test data
  • Optimal performance

πŸ’‘ Hint: Think about the model's learning capability.

Question 2

True or False: Underfitting can occur with overly complex models.

  • True
  • False

πŸ’‘ Hint: Consider when models are generally too simple.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with predicting house prices based on their features. You choose to include only one feature: the size of the house. Discuss how this could lead to underfitting, and suggest at least two additional features you could include to enhance the model.

πŸ’‘ Hint: Think about what other factors might affect house prices.

Question 2

A class is exploring the effects of underfitting by training a linear regression model on a dataset with a quadratic relationship. What signs will indicate that the model is underfitting, and how could the students prove this?

πŸ’‘ Hint: Consider how visual assessments can indicate model performance.

Challenge and get performance evaluation