Question: What is the term for a machine learning model's ability to perform well on the data it was trained on?
Answer:
Overfitting refers to a machine learning model's ability to perform well on the data it was trained on but poorly on new, unseen data.
MCQ: What is the term for a machine learning model's ability to perform well on the data it was trained on?
Explanation:
Overfitting refers to a machine learning model's ability to perform well on the data it was trained on but poorly on new, unseen data.
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Related Questions
- 1. What is the primary purpose of a decision tree algorithm in machine learning?
- 2. In machine learning, what does the term "ensemble learning" refer to?
- 3. Which type of machine learning algorithm is used for making predictions based on historical data?
- 4. What is the term for the process of grouping similar data points together based on their characteristics?
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