Practice Learning Curves (4.4.1) - Advanced Supervised Learning & Evaluation (Weeks 8)
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Learning Curves

Practice - Learning Curves

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are learning curves used for?

💡 Hint: Think about what kind of performance is observed over time.

Question 2 Easy

What does a low training score and a low validation score indicate?

💡 Hint: Consider the model's ability to learn from data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a learning curve illustrate?

Performance over time
Performance with data size
None of the above

💡 Hint: Consider what factors influence a model’s performance.

Question 2

True or False: A gap between training and validation scores indicates good model performance.

True
False

💡 Hint: Think about what the gap signifies in learning.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a dataset with a small amount of training data and a model that shows a training score of 95% and a validation score of 60%. Propose potential strategies to improve the model's performance.

💡 Hint: What elements could impact learning?

Challenge 2 Hard

Evaluate a scenario where learning curves show that the training score plateaus but the validation score still improves as more data is added. What does this indicate about your model?

💡 Hint: Consider the implications of plateauing scores.

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Reference links

Supplementary resources to enhance your learning experience.