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 ...

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 ...

For example, say there are 10 decision trees dedicated to determining what color a dress is. Three sets say it is blue, two sets say it is black, four sets say it is pink, and one set says it is red.

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 ...

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 ...