Paper Contents
Abstract
A Decision tree is a flowchart-like tree structure where each internal node denotes the feature, branches denote the rules and the leaf node denotes the result of algorithm. The ultimate outcomes or predictions are represented by the leaf nodes of the tree, conveying the results generated by the algorithm. A decision tree is one of the most powerful tools of supervised learning algorithms used for both classification and regression tasks. This paper provides the detailed information about the application of decision tree in Machine Learning.Keywords: Machine Learning, Supervised, Classification, Decision Tree.
Copyright
Copyright © 2024 A.Rexlin Freeda. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS40200005255
ISSN:
2321-9653
Publisher:
ijprems