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Which of the following is NOT a common technique for feature scaling?

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Question: Which of the following is NOT a common technique for feature scaling?

Options:

  1. Min-Max Scaling
  2. Standardization
  3. Log Transformation
  4. Feature Selection

Correct Answer: Feature Selection

Solution: 

Feature selection is the process of selecting a subset of relevant features, while Min-Max Scaling, Standardization, and Log Transformation are techniques for feature scaling.

Which of the following is NOT a common technique for feature scaling?

Practice Questions

Q1
Which of the following is NOT a common technique for feature scaling?
  1. Min-Max Scaling
  2. Standardization
  3. Log Transformation
  4. Feature Selection

Questions & Step-by-Step Solutions

Which of the following is NOT a common technique for feature scaling?
  • Step 1: Understand what feature scaling is. It is a technique used to normalize the range of independent variables or features in data.
  • Step 2: Learn about common techniques for feature scaling. These include Min-Max Scaling, Standardization, and Log Transformation.
  • Step 3: Recognize that feature selection is different from feature scaling. Feature selection involves choosing which features to keep for analysis.
  • Step 4: Identify which option in the question is NOT a technique for feature scaling. In this case, it is feature selection.
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