Are there techniques for extracting representative rules or summarizing the structure of a Random Forest?

This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance. Jun 6, 2023 ... With the. Page 2. Panji Satrio Bakti, Eliyani. Application of J48 and Naïve Bayes Algorithms to Predict Ream Bookings at PT. Nippon Presisi ... May 7, 2016 ... I want to use train and test in J48 decision-tree on R. here is my code: library("RWeka") data <- read.csv("try.csv") resultJ48 <- J48(classificationTry~., ... JavaScript is disabled. In order to continue, we need to verify that you're not a robot. This requires JavaScript. Enable JavaScript and then reload the page. Dance Gesture Recognition Using Laban Movement Analysis with J48 Classification. Joko Sutopo, Mohd Khanapi Abd Ghani, M. A. Burhanuddin, Aulia Nur Septiani ... Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... Specifically, we have used the Random Forest and J48 algorithms to obtain a sustainable and practicable model to detect various stages of CKD with comprehensive ... Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... Aug 18, 2021 ... J48 algorithm is one of the most widely used machine learning algorithms to examine the data categorically and continuously. Laxmikant Dewangan, Mausami Kar, “Classification of epileptic EEG signals based on J48 Classifier based feature selection”, (Published by IJRASET, INDIA) ...