Answer :
The correct answer is option (B) In the construction of decision trees, circle shapes represent a state of nature node.
Decision Tree Method
The decision tree algorithm is a supervised learning algorithm mechanism. The decision tree technique, in contrast to other supervised learning methods, is capable of handling both classification and regression issues.
In decision trees, we begin at the tree's root when anticipating a record's class label.
Decision Tree Types
Decision Tree with a Categorical Target Variable: When a decision tree has a categorical target variable, it is referred to as a Categorical Variable Decision Tree.
Decision Tree with Continuous Target Variable: When a decision tree has a continuous target variable, it is referred to as a Continuous Variable Decision Tree.
Important Phrases:
The complete population or sample is represented by the root node, which is then partitioned into two or more homogenous sets.
The process of splitting involves dividing a node into two or more sub-nodes.
Decision Node: A sub-node is referred to as a decision node when it divides into more sub-nodes.
Nodes that do not split are referred to as Leaf or Terminal nodes.
Pruning: Pruning is the process of removing sub-nodes from a decision node. You might describe splitting in reverse.
Branch / Sub-Tree: A branch or sub-tree is a division of the overall tree.
Sub-nodes are the offspring of a parent node, whereas a node that is divided into sub-nodes is referred to as the parent node of sub-nodes.
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