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 ...

Missing values may be easier to manage with decision trees than they are with other classification methods. 33 The tree-building algorithm in the Salford System CART software uses a method of ...

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 ...

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, ...

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 ...

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 ...