Overfitting in Machine Learning: A Comparative Analysis of Decision Trees and Random Forests
Erblin Halabaku, Eliot Bytyçi
Abstract
Machine learning has emerged as a pivotal tool in deciphering and managing this excess of information in an era of abundant data. This paper presents a comprehensive analysis of machine learning algorithms, focusing on the st... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
OverfittingRandom forestDecision treeMachine learningArtificial intelligenceComputer scienceForestryGeographyArtificial neural networkData Mining Algorithms and ApplicationsMachine Learning and Data Classification