Question 32
Domain 2 — Data, Machine Learning, and Model DevelopmentChoose the correct features of a decision tree:
Correct answer: ACD
Explanation
A decision tree works by splitting data into branches based on input attributes, which is why it is used for classification and prediction. Its structure follows a series of tests on features, so "splits data based on attributes" matches the defining rule of the model.
Why each option is right or wrong
A. Splits data based on attributes
A decision tree is defined by recursive partitioning: at each internal node, the algorithm tests an input feature and splits the dataset into branches according to the feature’s value or threshold. In standard machine-learning formulations, this attribute-based splitting is the mechanism used to build the tree structure and reach a class label or prediction at the leaves.
B. Organizes data in a linear sequence
C. Utilizes a tree-like structure
D. Requires labeled data