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 supervised learning algorithm, decision trees can also be used for either classification problems or regression problems. It’s called a “tree” because it possesses a hierarchical structure.

For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, income and political leaning. There are many other techniques for binary ...

Motivated by this need, this work rigorously evaluates the performance of three ML algorithms: Decision Trees, Logistic Regression, and K-Nearest Neighbors (KNN) to accurately assess their robustness ...

Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over ...

This article considers a measure of variable importance frequently used in variable-selection methods based on decision trees and tree-based ensemble models. These models include CART, random forests, ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables ...