How does J48 compare to other tree-based algorithms available in popular machine learning libraries?

Laxmikant Dewangan, Mausami Kar, “Classification of epileptic EEG signals based on J48 Classifier based feature selection”, (Published by IJRASET, INDIA) ... 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 ... 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. J48 Classifier · Scheme: The classification algorithm used. · Instances: Number of data rows in the dataset. · Attributes: The dataset has 5 attributes. · The ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. Implementation of the vehicle classification based-on decision tree algorithm ... It uses the J48 classification algorithm implemented in Weka, a machine learning ... 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 ... Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. 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 ...