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Questions and Answers
What is the primary purpose of a decision tree in artificial intelligence and machine learning?
What is the primary purpose of a decision tree in artificial intelligence and machine learning?
- To perform complex mathematical computations on large datasets
- To identify outliers in the dataset
- To visualize and analyze possible decision paths based on input features (correct)
- To automatically generate code for machine learning models
What are the nodes in a decision tree used to represent?
What are the nodes in a decision tree used to represent?
- Decision points based on features (correct)
- Data outliers
- Complex mathematical computations
- Random noise in the dataset
How does a decision tree handle categorical data?
How does a decision tree handle categorical data?
- By splitting the data based on categories (correct)
- By converting it into a continuous numerical form
- By removing categorical variables from the dataset
- By ignoring categorical data
