Question: What is the primary purpose of a decision tree algorithm in machine learning?
Answer:
The primary purpose of a decision tree algorithm is classification, where it splits data into categories based on features.
MCQ: What is the primary purpose of a decision tree algorithm in machine learning?
Correct Answer:
A. Clustering
Explanation:
The primary purpose of a decision tree algorithm is classification, where it splits data into categories based on features.
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Related Questions
- 1. In machine learning, what does the term "ensemble learning" refer to?
- 2. Which type of machine learning algorithm is used for making predictions based on historical data?
- 3. What is the term for the process of grouping similar data points together based on their characteristics?
- 4. In machine learning, what is the primary purpose of a random forest algorithm?
- 5. What is the term for a machine learning model's ability to generalize well to new, unseen data?
- 6. Which machine learning technique is often used for recommendation systems, such as those used by Netflix or Amazon?
- 7. In natural language processing (NLP), what is the term for extracting meaningful information and relationships from text data?
- 8. What is the primary purpose of a support vector machine (SVM) in machine learning?
- 9. Which machine learning algorithm is commonly used for text classification, spam detection, and sentiment analysis?
- 10. In machine learning, what is the term for the process of reducing the number of features in a dataset?
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