Feature Scaling Normalization Quiz
Quiz covering Feature Engineering
Feature Scaling Normalization Quiz
5 questions | Pass: 70% | Earn 25 points
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
Which of the following describes the primary goal of Min-Max Normalization?
- 2
Why is it recommended to perform feature scaling after splitting your data into training and testing sets?
- 3
If a dataset contains significant outliers, which scaling technique is generally more robust than Min-Max Normalization?
- 4
In which of the following scenarios is feature scaling LEAST necessary?
- 5
When using Scikit-Learn's StandardScaler, what happens if you apply the 'fit' method to the test set instead of just 'transform'?
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