Can J48 be used for regression tasks?

Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... The J48 algorithm was used to classify 116 instances also,10-fold cross validation and holdout procedure were used coupled changing of random seed. Average ... Sep 5, 2017 ... The C4.5/J48 algorithm differs from the IDE3 as while building a decision tree, the algorithm can accept the continuous and the categorical ... Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... 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 ... Apr 1, 2018 ... Hence, this paper works only the decision tree classification algorithms due to their hierarchal nature, diversity, and simplicity, these are ... Feb 9, 2024 ... 1 Answer 1 · it is a numeric class attribute. – Adnan Abass. Commented Feb 10, 2024 at 8:24 · 1. That's your problem then, as J48 is a ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... 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 ... Mar 5, 2024 ... The J48 decision tree method demonstrated the highest precision and accuracy in the prediction of shoulder calcification resorption by ESWT.