Encoding Techniques Quiz

Quiz covering Feature Engineering

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

   Which encoding technique is most appropriate for a categorical variable with no inherent order, such as 'Color' (Red, Blue, Green)?

2. 2

   When using Label Encoding on an ordinal feature like 'Education Level' (High School < Bachelors < Masters), why is it preferred over One-Hot Encoding?

3. 3

   You are dealing with a categorical feature containing over 1,000 unique values (high cardinality). Which technique should you avoid to prevent the 'curse of dimensionality'?

4. 4

   What is the primary risk of using Target Encoding (or Mean Encoding) on a small dataset?

5. 5

   You have a categorical feature with high cardinality and you need a memory-efficient method that doesn't store a mapping dictionary. Which technique is best suited?