Which of these is an example of encoding in data preprocessing? A) Converting categorical values like 'male' and 'female' into numerical representations B) Rescaling the values of... Which of these is an example of encoding in data preprocessing? A) Converting categorical values like 'male' and 'female' into numerical representations B) Rescaling the values of a continuous feature to a range of 0 to 1 C) Creating a new feature by combining two existing features. D) Replacing missing values with the average value of the corresponding feature
Understand the Problem
The question is asking to identify which option is an example of encoding in data preprocessing. The focus is on understanding the concept of encoding and how it applies to categorical data.
Answer
Converting categorical values like 'male' and 'female' into numerical representations
The final answer is converting categorical values like 'male' and 'female' into numerical representations.
Answer for screen readers
The final answer is converting categorical values like 'male' and 'female' into numerical representations.
More Information
Encoding in data preprocessing involves converting categorical data into a numerical format that can be used in machine learning algorithms. Common methods of encoding include one-hot encoding, label encoding, and binary encoding.
Tips
A common mistake is confusing encoding with scaling. Encoding changes data type from categorical to numerical, while scaling adjusts numerical data range.
Sources
- One Hot Encoding in Machine Learning - GeeksforGeeks - geeksforgeeks.org
- What are Categorical Data Encoding Methods | Binary Encoding - analyticsvidhya.com
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