Question: What is the primary challenge associated with overfitting in machine learning?
Answer:
The primary challenge associated with overfitting is high variance, which leads to poor generalization on unseen data.
MCQ: What is the primary challenge associated with overfitting in machine learning?
Correct Answer:
A. High bias
Explanation:
The primary challenge associated with overfitting is high variance, which leads to poor generalization on unseen data.
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Related Questions
- 1. What type of machine learning technique is used for making a sequence of decisions to maximize a cumulative reward?
- 2. What is the term for the process of grouping similar data points together based on their characteristics?
- 3. In machine learning, what does the term "bias" refer to?
- 4. Which machine learning algorithm aims to find patterns or relationships in data without the need for explicit supervision?
- 5. What is the primary purpose of principal component analysis (PCA) in machine learning?
- 6. In natural language processing (NLP), what is the term for assigning parts of speech to words in a sentence?
- 7. Which machine learning technique is often used for detecting anomalies or rare events in data?
- 8. What is the primary objective of a support vector machine (SVM) in machine learning?
- 9. What is the term for a machine learning model's ability to perform well on new, unseen data?
- 10. In machine learning, what is the term for the process of reducing noise or variability in data?
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