Can J48 handle continuous attributes?

The classifier is estimated with the Weka J48 algorithm for decision trees learning, the same used by Fernández, Ginzburg, and Lappin (2007). The ... Jul 15, 2018 ... Information Gain &. Fuzzy Rule Induction. Classifier (Combined. Algorithm). FURIA, JRip and J48 has recorded similar accuracy rate at 99% and ... Aug 1, 2018 ... Instead of manual evaluation through the usage of Snort IDS, a J48 decision tree (Weka package of C4.5 algorithm) is used. In this ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... is the Weka implementation of the standard decision tree algorithm C4.5 [14] as rule ... edClassifier using J48 as the classifier (FS-J48). 3) J48 trees obtained ... ... 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 ... May 18, 2024 ... Currently, many studies have utilized machine learning methods such as the decision tree algorithms C4.5, ID3, CART, J48, random forest, and ... Experimental results showed a significant improvement over the existing J-48 algorithm. Keywords. J48 Decision Tree, MATLAB, Data Mining, Diabetes,. WEKA. 1. Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... ... algorithm for tackling misclassification errors. The motivation ... We employ decision tree classification algorithms from Weka software such as J48, J48 ...