What metrics are commonly used to evaluate J48 classification models?

Aug 18, 2021 ... J48 algorithm is one of the most widely used machine learning algorithms to examine the data categorically and continuously. 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 ... 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 ... 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 ... ... J48 classifier, as depicted in Figures 21-a and 21-b. Note that J48 (implementation of C4.5 algorithm) does not require discretization of numeric attributes ... Oct 12, 2020 ... ID3 #C4.5 #J48 #CART #ntanetcomputerscience ID3,C4.5 J48 CART Decision Tree Construction. Implementation of the vehicle classification based-on decision tree algorithm ... It uses the J48 classification algorithm implemented in Weka, a machine learning ... Jun 21, 2021 ... We are using a decision tree classification algorithm (J48 exceptionally) to perform text mining (classification) on our target dataset. This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... Thanks to a collection of categorical data, we were able to apply the j48 algorithms of (ML) to create the workplace model of prediction. Overall, utilizing the ...