Comparative Analysis of the Use of Decision Trees and Lasso Regression

This paper considers the issue of comparing two methods of analyzing the relationships between sets of natural numbers ordered in ascending order: decision trees and Lasso regression. A comparative analysis of the positive and negative aspects of using both methods is carried out. The simplicity of the calculations, the visibility of the obtained model, and its informative value are evaluated. Finally, recommendations are given on choosing a method for analyzing correlations between sets of natural numbers.