What are the limitations of using J48 for recommendation tasks?

Data Science (ICCIDS 2018). Keywords:C4.5, J48, J48Consolidated, J48Graft, TOPSIS, Classifier Rank, ISCXIDS2012, NSL-KDD, Intrusion Detection. The J48 decision tree is an algorithm that offers a visually discernible strategy for machine learning. Upon the development of the machine learning model, the ... This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. 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 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... 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 ... Thanks to a collection of categorical data, we were able to apply the j48 algorithms of (ML) to create the workplace model of prediction. Overall, utilizing the ... Sep 30, 2022 ... Soekarno Hatta requires analysis with data mining techniques such as the J48 algorithm and Decision Tree, and Naïve Bayes. 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 ...