There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

But a fight with the nation’s oldest, richest and most elite university is a battle that President Trump and his powerful aide, Stephen Miller, want to have. By Elisabeth Bumiller Reporting from ...

Abstract: This paper presents an automatic machine learning (autoML) algorithm to select a decision tree algorithm which is most suitable for the stated requirements by the user for classification.

According to DeepLearning.AI, decision trees have evolved from basic Aristotelian logic to become crucial in AI models, including applications in cryptocurrency trading algorithms. This algorithm's ...

Abstract: Decision tree algorithms are very useful approaches in data mining. Indeed, the C4.5 algorithm is a popular data classifier for machine learning. Nowadays there is a wide range of Big Data ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

ABSTRACT: Land use and occupation dynamics impact landscape structure, diversity, richness and balance of vegetation cover. The aim of this study is to describe the process of fragmentation of the ...

This program reads 28 x 28 hand-drawn digits (0 to 9) and uses machine learning to classify them. Currently, I am attempting to dockerize my model.