What are the rules generated by a J48 decision tree?

Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. The J48 algorithm is produced by a supplier selection model with 2 rule selection models to classify efficient suppliers and inefficient suppliers. The accuracy ... The classifier is estimated with the Weka J48 algorithm for decision trees learning, the same used by Fernández, Ginzburg, and Lappin (2007). The ... 5 algorithm as "a landmark decision tree program that is probably the ... J48 is an open source Java implementation of the C4.5 algorithm in the Weka ... Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. 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 decision tree J48 algorithm is used for the C4.5 algorithm in the ... 5 algorithm is presented using decision tree J48. Figure 1 Decision tree of ... Performance Comparison of Decision Tree J48, CART, and Naïve Bayes Algorithms for Predicting Chronic Kidney Disease. J48 Classifier · Scheme: The classification algorithm used. · Instances: Number of data rows in the dataset. · Attributes: The dataset has 5 attributes. · The ...