Can J48 provide explanations for its predictions?

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 ... Performance Comparison of Decision Tree J48, CART, and Naïve Bayes Algorithms for Predicting Chronic Kidney Disease. 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 ... In next phase for classification of flowers we have used classification techniques in which we found the accuracy score of j48 classifier is higher than Naïve ... 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 case study was focused ... Aug 9, 2021 ... J48 (C4.5) is the most commonly used decision tree algorithm that is an extension of Quinlan's earlier ID3 Algorithm - known to have a ... 5 algorithms or can be called as optimized implementation of the C4.5. The output of J48 is the Decision tree. A Decision tree is similar to the tree structure ... 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 ... Sep 11, 2019 ... ... algorithms were used to impute missing data. The RF classification approach and J48 algorithm were applied on original complete data and the ...