Classification of Data Generated by Gaussian Models

Abstract

30 Corresponding author email : megouache_leila@yahoo.fr Classification of Data Generated by Gaussian Models Leila, Megouache*1; Sadouni, Salheddine2; Zitouni, Abdelhafid1; Sadouni, Ouissal1; Djoudi, Mahieddine3 1LIRE Laboratory, University of Constantine 3 Salah Boubnider 2Frères Mentouri Constantine 1 Univeristy); Abdelhafid Zitouni (univrsite Constantine2- Abdlhamid 3University of Poitiers, France Abstract Data classification is the vital process of organizing data into distinct categories based on specific criteria. This proposed research aims to unveil a meaningful “structure” from a sample of objects, fostering a clearer representation of this data. Recent advancements in classification algorithms have shown that they learn from a training set to construct a robust model for classifying new objects. In this study, we will comprehensively examine the performance of our own implementation of a decision tree classifier