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AIGP · Question #140
AIGP Question #140: Real Exam Question with Answer & Explanation
The correct answer is D. Extracting attributes and variables from raw data.. Feature engineering involves extracting and transforming relevant attributes or variables from raw data to improve model performance.
Question
In the machine learning context, feature engineering is the process of:
Options
- AConverting raw data into clean data.
- BCreating learning schema for a model to apply.
- CDeveloping guidelines to train and test a model.
- DExtracting attributes and variables from raw data.
Explanation
Feature engineering involves extracting and transforming relevant attributes or variables from raw data to improve model performance.
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