How can confusion matrices and other diagnostic tools be used to understand J48's performance?

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 ... JavaScript is disabled. In order to continue, we need to verify that you're not a robot. This requires JavaScript. Enable JavaScript and then reload the page. Jul 2, 2023 ... The J48 algorithm was applied to the weather.nominal.arff file in Weka to produce the decision tree shown below. Next, we apply the decision tree to the ... Performance Comparison of Decision Tree J48, CART, and Naïve Bayes Algorithms for Predicting Chronic Kidney Disease. ... decision tree. For this purpose, the cost-sensitive J48 algorithm was used to develop the decision tree model. Results: Utilizing all the key features of ... 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 ... Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... 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 ... In this sense, the performance of the proposed methodology was evaluated in a comparative way between the Random Forest and the type J48. Decision Tree. For ... Jul 29, 2019 ... The TB patient dataset is applied and tested in decision tree J48 algorithm using WEKA. The J48 model identi- fied the three (3) significant ...