Exploring Decision Trees: Advantages, Algorithm, and Limitations

Rahul S
6 min readAug 16, 2023
src: Normalized Nerd

Decision trees are constructed using a series of binary decisions on the input features to predict the target variable.

A decision tree consists of a root node, internal nodes, and leaf nodes. The root node represents the entire dataset, and each internal node represents a decision based on one of the input features. The edges of the tree represent the…

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