Through the use of the Discernibility Matrix in Rough Set, this paper introduced an Attribute Reduction Algorithm, based on which, a new one is put forward about the Generation of Hybrid Decision Tree ...

Decision trees are a major tool in corporate finance. Discover how binomial trees play an integral role in the pricing of interest rates.

Decision tree regression is a fundamental technique that can be used by itself, and is also the basis for powerful ensemble techniques (a collection of many decision trees), notably, AdaBoost ...

Decision Trees vs. Random Forest: Explore the advantages of decision trees and random forest. Read more to gain insights.

There are several types of decision-making templates, such as the decision matrix, decision tree, and pros and cons list. Each type of template is best suited to different situations and needs.

This study aims to select pet adopters based from the model created from the C4.5 decision tree algorithm to address the proper way for adoption of a pet through online examination. This study uses ...

This project uses Weka to analyze the "Car Evaluation" dataset with decision trees, comparing model performance on 70/30 and 50/50 data splits. It includes accuracy, F1-scores, and decision tree ...

Reading time: 1 minute A decision tree is a project management tool based on a tree-like structure used for effective decision-making and predicting the potential outcomes and consequences when there ...