What are the computational costs associated with training and deploying ensemble models based on decision trees?

The J48 decision tree is an algorithm that offers a visually discernible strategy for machine learning. Upon the development of the machine learning model, the ... In this sense, the performance of the proposed methodology was evaluated in a comparative way between the Random Forest and the type J48. Decision Tree. For ... Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. The case study was focused ... ALGORITHMS CHOSEN FOR INTRUSION DETECTION SYSTEM. The algorithm which have been chosen to implement IDS are as under: J48 ALGORITHM: C4.5 is a successor of ... Apr 11, 2025 ... ... J48 algorithm. AIP Conf. Proc. 11 April 2025; 3270 (1): 020102 ... Research Tools and Procedures: An study using logistic regression and a J48 ... Crime Prediction Using Decision Tree (J48) Classification Algorithm. Article May, 2017 Authors: E. Ahishakiye, D. Taremwa E. Opiyo and I. Niyonzima Jul 15, 2018 ... Information Gain &. Fuzzy Rule Induction. Classifier (Combined. Algorithm). FURIA, JRip and J48 has recorded similar accuracy rate at 99% and ... May 9, 2020 ... We apply different Machine Learning classification algorithms to predict an acceptance model of E-orientation systems. This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance. Jul 7, 2024 ... Algorithm: J48, an extension of ID3 algorithm, also known as C4.5. Outcome: Construct a decision tree structure to classify data. Key Concepts.