What are the conditions under which J48 is guaranteed to find a good decision tree?

Java implementation of the C4.5 algorithm is known as J48, which is available in WEKA data mining tool. Gain Ratio. Where: |Dj|/|D| acts as the weight of the ... Sep 4, 2024 ... Various data mining technique models use machine learning combined with various algorithms, including the J48 algorithm. The J48 algorithm ... Mar 5, 2024 ... The J48 decision tree method demonstrated the highest precision and accuracy in the prediction of shoulder calcification resorption by ESWT. Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... 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 ... 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~., ... 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. The modified J48 classifier is used to increase the accuracy rate of the data mining procedure. The data mining tool WEKA has been used as an API of MATLAB for ... The classifier is estimated with the Weka J48 algorithm for decision trees learning, the same used by Fernández, Ginzburg, and Lappin (2007). The ... Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. The case study was focused ...