A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Types of Decision Trees Classification Trees Classification trees are used when you need to sort things into different groups or assign them a specific label. These labels could be simple yes/no ...

When considering a decision tree for the purpose of classification, accuracy is usually the sole performance measure used in the construction process. In this paper, we introduce the idea of combining ...

First, we tested a limited set of classification approaches that we selected variously based on their use in related fields: a straightforward decision-tree format of the results and a more ...

Two univariate split methods and one linear combination split method are proposed for the construction of classification trees with multiway splits. Examples are given where the trees are more compact ...

The authors’ approach is based on differences between assembly op-code frequencies in malware and benign classes. They have also utilized decision tree algorithms to simplify the classification.

Although the concept of decision trees is not new, the clinical application of data-driven, moderated CDTs on a complex medical multidisciplinary guideline in such a way that they are both clinically ...