What are some ethical considerations when using the J48 algorithm?

Sep 15, 2023 ... J48 algorithm was chosen from the WEKA software tool to develop the Decision Tree. Results: The Decision Tree comprises root nodes, branches ... Jul 2, 2023 ... The J48 algorithm was applied to the weather.nominal.arff file in Weka to produce the decision tree shown below. Next, we apply the decision tree to the ... Oct 1, 2019 ... In this paper J48 and Random Forest (RF) machine learning algorithms are used for classification of cyber threats using NetFlows. The results ... ... Decision Stump, and J48 algorithms were used. According to these algorithms, the best classification rate has been reached with J48 algorithm. The results. 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~., ... The J48 algorithm is produced by a supplier selection model with 2 rule selection models to classify efficient suppliers and inefficient suppliers. The accuracy ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... ... J48 classifier, as depicted in Figures 21-a and 21-b. Note that J48 (implementation of C4.5 algorithm) does not require discretization of numeric attributes ... Jul 29, 2019 ... The TB patient dataset is applied and tested in decision tree J48 algorithm using WEKA. The J48 model identi- fied the three (3) significant ... Weka provides several decision tree algorithms in its environment. We used the Decision Tree algorithm J48, similar to the known induction algorithm called ...