Question: In machine learning, what is the primary goal of feature engineering?
Answer:
The primary goal of feature engineering is improving model performance by selecting or transforming relevant features.
MCQ: In machine learning, what is the primary goal of feature engineering?
Correct Answer:
A. Reducing model complexity
Explanation:
The primary goal of feature engineering is improving model performance by selecting or transforming relevant features.
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Related Questions
- 1. What is the term for the process of converting text data into numerical values for machine learning?
- 2. Which machine learning algorithm is commonly used for sentiment analysis in natural language processing (NLP)?
- 3. What is the term for the process of dividing a dataset into training and testing subsets to evaluate model performance?
- 4. What is the primary purpose of a recurrent neural network (RNN)?
- 5. Which machine learning technique is used for grouping similar data points together based on their characteristics?
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- 7. What is the term for the process of teaching a machine learning model by providing it with labeled examples?
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