decision tree
root node
branches
siblings
Answer is Right!
Answer is Wrong!
The correct answer is: A. decision tree
A decision tree is a tree-like structure that is used to classify data. The root node of the tree represents the entire set of data, and the branches represent the different possible values of a feature. The leaves of the tree represent the different classes of data.
Classification rules are extracted from a decision tree by following the branches from the root node to the leaf node that represents the class of the data point. For example, if the data point has the value “red” for the feature “color”, then the classification rule would be “if color = red, then class = apple”.
The other options are incorrect because:
- B. root node: The root node is the top node of the tree, and it does not represent a class of data.
- C. branches: The branches represent the different possible values of a feature, and they do not represent classes of data.
- D. siblings: Siblings are nodes that have the same parent node, and they do not represent classes of data.