Question: In machine learning, what is the term for the process of making a model less complex to improve its generalization?
Answer:
Model regularization is the process of making a model less complex to improve its generalization.
MCQ: In machine learning, what is the term for the process of making a model less complex to improve its generalization?
Explanation:
Model regularization is the process of making a model less complex to improve its generalization.
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Related Questions
- 1. Which machine learning technique involves training a model to make decisions based on input data and feedback signals?
- 2. What is the primary objective of natural language processing (NLP)?
- 3. What is the term for a machine learning model's ability to perform well on the data it was trained on?
- 4. What is the primary purpose of a decision tree algorithm in machine learning?
- 5. In machine learning, what does the term "ensemble learning" refer to?
- 6. Which type of machine learning algorithm is used for making predictions based on historical data?
- 7. What is the term for the process of grouping similar data points together based on their characteristics?
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