What are the best practices for documenting the design, training, and deployment of J48 models?

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 ... Feb 25, 2022 ... ... J48 algorithms are used. As for the feature selection algorithm; Gain Ratio Attribute and ReliefF Attribute are selected. The results are ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... Weka provides several decision tree algorithms in its environment. We used the Decision Tree algorithm J48, similar to the known induction algorithm called ... 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 ... 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 ... Laxmikant Dewangan, Mausami Kar, “Classification of epileptic EEG signals based on J48 Classifier based feature selection”, (Published by IJRASET, INDIA) ... Dance Gesture Recognition Using Laban Movement Analysis with J48 Classification. Joko Sutopo, Mohd Khanapi Abd Ghani, M. A. Burhanuddin, Aulia Nur Septiani ... 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 ...