Decision Tree is one of the most common classification techniques. A tree is constructed in a top-down manner and includes the following steps:
1 Place all training examples at the root
2 Categorize the attributes
3 Partition examples recursively based on the selected attributes
4 Select test attributes on the basis of a heuristic or statistical measure.
The proposed video demonstrates implementing decision tree using R Programming with an example.

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