Decision trees where the target variable can take continuous values (typically real numbers) are calledSelect one:a. Regression treesb. Classification trees
Question
Decision trees where the target variable can take continuous values (typically real numbers) are called
Select one:
- a. Regression trees
- b. Classification trees
Solution
Answer
The correct option is:
a. Regression trees
Explanation
In decision tree algorithms, the target variable plays a crucial role in determining the type of tree. When the target variable is categorical (i.e., it takes on distinct categories), the decision tree is referred to as a Classification Tree. These trees categorize inputs into classes based on feature values.
On the other hand, when the target variable can take continuous values (often real numbers), the decision tree is called a Regression Tree. Regression trees work by partitioning the data into subsets based on feature values and then making predictions about the target variable's value, typically using the mean of the target variable in each partition.
In summary, if the target variable has continuous values, the appropriate choice is Regression Trees.
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