How does J48 perform in noisy environments with high levels of uncertainty?

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 30, 2022 ... Soekarno Hatta requires analysis with data mining techniques such as the J48 algorithm and Decision Tree, and Naïve Bayes. Jul 27, 2022 ... It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make ... Apr 1, 2018 ... Hence, this paper works only the decision tree classification algorithms due to their hierarchal nature, diversity, and simplicity, these are ... Specifically, we have used the Random Forest and J48 algorithms to obtain a sustainable and practicable model to detect various stages of CKD with comprehensive ... 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 ... Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... Jul 12, 2019 ... In this study, a decision-making classifier (J48) is applied over a data-mining platform (Weka) to measure accuracy and linear regression on classification ... Sep 5, 2017 ... The C4.5/J48 algorithm differs from the IDE3 as while building a decision tree, the algorithm can accept the continuous and the categorical ... ... 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 ...