What are the evaluation metrics suitable for online learning algorithms like evolving decision trees?

Jul 12, 2016 ... The objective of the study is to explore the potential of a J48 decision tree (JDT) in identifying water bodies using reflectance bands from Landsat 8 OLI ... 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 ... This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... May 7, 2016 ... I want to use train and test in J48 decision-tree on R. here is my code: library("RWeka") data <- read.csv("try.csv") resultJ48 <- J48(classificationTry~., ... J48 Classifier · Scheme: The classification algorithm used. · Instances: Number of data rows in the dataset. · Attributes: The dataset has 5 attributes. · The ... algorithm "Rainbow" has no impact on J48 decision tree algorithm. After all, we concluded that there is no need for removing stop words, because according ... Sep 15, 2023 ... J48 algorithm was chosen from the WEKA software tool to develop the Decision Tree. Results: The Decision Tree comprises root nodes, branches ... Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... 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 ... Experimental results showed a significant improvement over the existing J-48 algorithm. Keywords. J48 Decision Tree, MATLAB, Data Mining, Diabetes,. WEKA. 1.