In a decision tree at a chance (or event) node, the sum of the probabilities must equal - True.
A non-parametric supervised learning technique for classification and regression is called a decision tree (DT).
The objective is to learn straightforward decision rules derived from the data features in order to build a model that predicts the value of a target variable.
A decision tree is a type of graph that use branching to show every possible result for a certain input.
A graphics program or specialist software can be used to generate decision trees or they can be hand-drawn.
Informally, decision trees are helpful for narrowing the topic of conversation when a group must select a choice.
To learn more about DT, refer
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