Question

Leaf nodes of a decision tree correspond to:

A. Attributes
B. Classes
C. Data instances
D. None of the above

Answer 1

Explanation:

A) Attributes.

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Answer 2

Leaf nodes of a decision tree correspond to: Classes.

Explanation:

• A decision tree is comprised of many different things such as a root node, branches, and leaf nodes.
• The nodes that are present internally represent the attribute, the branch node of the tree represents outcome and the leaf node represents the class.
• A decision tree looks like a flow chart and the node that is present in the top represents the root node of the tree.
• There are many advantages associated with the decision tree.
• It will be helpful in easier understanding and it does not require domain knowledge for its interpretation.

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If we convert a decision tree to set of logical rules then the ​

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Which of the following is true for a decision tree?

A) Decision tree is an example of linear classifier.

B) The entropy of a node typically decreases as we go down a decision tree.

C) Entropy is a measure of purity.

D) An attribute with lower mutual information should be preferred to other attributes.