How does J48 perform when dealing with high-dimensional data where many features are irrelevant?

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. The model is used to classify new objects. II. DATA CLASSIFIER. In this paper, two classifiers, naive bayes algorithm and J48 decision tree algorithm are used ... the J48 Decision Tree algorithm and the combination of J48 with Freeling and Leffe ... the J48 Decision Tree algorithm over all eval- uation datasets are ... Sep 30, 2022 ... Soekarno Hatta requires analysis with data mining techniques such as the J48 algorithm and Decision Tree, and Naïve Bayes. 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~., ... This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance. For instance, for the J48 algorithm, which has 10 parameters in total, we have defined a chromosome divided in. 10 genes, each gene with a given number of ... Feb 9, 2024 ... 1 Answer 1 · it is a numeric class attribute. – Adnan Abass. Commented Feb 10, 2024 at 8:24 · 1. That's your problem then, as J48 is a ... Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... 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 ...