How does J48 prune the decision tree?

Jul 7, 2024 ... Algorithm: J48, an extension of ID3 algorithm, also known as C4.5. Outcome: Construct a decision tree structure to classify data. Key Concepts. 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 ... 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~., ... 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 ... ALGORITHMS CHOSEN FOR INTRUSION DETECTION SYSTEM. The algorithm which have been chosen to implement IDS are as under: J48 ALGORITHM: C4.5 is a successor of ... Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... In this paper, in educational data mining we used data mining classification algorithms like J48 algorithm from decision tree to predict the student's ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ...