Feature Engineering 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

   What is the primary goal of feature engineering in the machine learning development lifecycle?

2. 2

   You are working with a dataset containing a categorical variable 'City' with 50 unique values. Which encoding technique would be most appropriate to avoid high dimensionality while preserving some ordinal relationship if applicable?

3. 3

   When performing feature scaling, why is it critical to fit your scaler (e.g., StandardScaler) only on the training data?

4. 4

   Which of the following scenarios describes the best use case for applying a log transformation to a numerical feature?

5. 5

   You are designing a feature to capture the 'time since last purchase' for a customer. You notice that some customers have never made a purchase. How should you handle this to prevent model bias?