In a decision tree, the term node refers to which of the following?

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Multiple Choice

In a decision tree, the term node refers to which of the following?

Explanation:
Nodes mark decision points where an attribute is tested to split the data. Each internal node evaluates a condition on a feature and directs the instance along a branch based on the result. Leaves are the terminal points that hold the final prediction, not the decision points themselves. The path from root to a leaf describes a sequence of such decisions, but a node itself is specifically the place where a test is performed. That’s why the correct view is that a node represents a point where a test on an attribute is performed.

Nodes mark decision points where an attribute is tested to split the data. Each internal node evaluates a condition on a feature and directs the instance along a branch based on the result. Leaves are the terminal points that hold the final prediction, not the decision points themselves. The path from root to a leaf describes a sequence of such decisions, but a node itself is specifically the place where a test is performed. That’s why the correct view is that a node represents a point where a test on an attribute is performed.

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