How does the minimum number of instances per leaf affect the J48 tree?

This figure also reveals that the ranking of the J48 algorithm is dramatically reduced compared to that in the previous figure using the UCI data. Several. J48 is one of the decision tree techniques implemented from C4.5 algorithm. It consists of four main programmes; the decision tree generator, production rule ... 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 ... Data Science (ICCIDS 2018). Keywords:C4.5, J48, J48Consolidated, J48Graft, TOPSIS, Classifier Rank, ISCXIDS2012, NSL-KDD, Intrusion Detection. 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 ... 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 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 ... 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 ... Sep 4, 2024 ... Various data mining technique models use machine learning combined with various algorithms, including the J48 algorithm. The J48 algorithm ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power.