2 min read

Decision Tree in Machine Learning

A decision tree is a diagram or chart that helps determine a course of action or show a statistical probability
Decision Tree in Machine Learning

A decision tree is a flowchart-like structure in which each internal node represents a test on a feature (e.g. whether a coin flip comes up heads or tails) , each leaf node represents a class label (decision taken after computing all features) and branches represent conjunctions of features that lead to those class labels.

The paths from root to leaf represent classification rules. Below diagram illustrate the basic flow of decision tree for decision making with labels (Rain(Yes), No Rain(No))

Source- https://miro.medium.com/max/875/0*PB7MYQfzyaLaTp1n

The decision tree Algorithm belongs to the family of supervised machine learning algorithms. It can be used for both a classification problem as well as for regression problem.

The goal of this algorithm is to create a model that predicts the value of a target variable, for which the decision tree uses the tree representation to solve the problem in which the leaf node corresponds to a class label and attributes are represented on the internal node of the tree.

Read More....

Machine Learning Decision Tree Classification Algorithm - Javatpoint
Machine Learning Decision Tree Classification Algorithm with Machine Learning, Machine Learning Tutorial, Machine Learning Introduction, What is Machine Learning, Data Machine Learning, Applications of Machine Learning, Machine Learning vs Artificial Intelligence etc.
Source- https://www.javatpoint.com/machine-learning-decision-tree-classification-algorithm

#DecisionTree #AI #ML #Probyto #ProbytoAI

Subscribe & Follow us for latest in field of AI & Tech and stay updated!

Facebook: https://facebook.com/probyto
Twitter: https://twitter.com/probyto
LinkedIn: https://linkedin.com/company/probyto
Instagram: https://instagram.com/probyto