Overfitting and Underfitting Quiz

What you'll be asked

1. Which of the following scenarios best describes an underfitted machine learning model?
2. When monitoring a model's performance in Azure Machine Learning, you notice the training error is very low, but the validation error is significantly higher. What is the most likely cause?
3. You are training a decision tree in Azure Machine Learning and notice the model is overfitting. Which of the following techniques would most effectively address this?
4. Which of the following describes the 'Bias-Variance Tradeoff' when selecting a model for deployment on Azure?
5. In the context of Azure Automated ML, how does K-fold cross-validation help in identifying model overfitting?

Answers and explanations come after you submit.