Are there any theoretical guarantees on the performance of the J48 algorithm?

Nov 29, 2023 ... Tree-based Data Mining Algorithms. J48: J48 is the implementation of Quinlan's C4.5 algorithm to generate a trimmed decision tree. Initially ... Jul 12, 2016 ... The objective of the study is to explore the potential of a J48 decision tree (JDT) in identifying water bodies using reflectance bands from Landsat 8 OLI ... 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 ... 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 ... 5, J48, Tree Pruning, Reduced error pruning. INTRODUCTION. Decision trees are utilized to delineate decision-making process. It is a classifier embodied by a ... Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. 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 ... The classifier is estimated with the Weka J48 algorithm for decision trees learning, the same used by Fernández, Ginzburg, and Lappin (2007). The ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ...