Model Training Quiz

Quiz covering ML Development Lifecycle

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   In the ML development lifecycle, what is the primary purpose of a validation dataset?

2. 2

   You notice your model has high training accuracy but significantly lower validation accuracy. What is the most likely cause?

3. 3

   Which of the following techniques is most effective for addressing a model that is underfitting?

4. 4

   Why is it critical to shuffle your training data before starting the training process in stochastic gradient descent?

5. 5

   During training, you observe that your loss function is oscillating wildly and failing to converge. Which hyperparameter adjustment is most likely to stabilize training?