What are the similarities and differences between decision trees and rule sets?

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 ... Abstract. The wide acceptance of decision tree classifiers lies with their fast performance and simple nature. The J48 group of decision tree classifiers are ... For instance, for the J48 algorithm, which has 10 parameters in total, we have defined a chromosome divided in. 10 genes, each gene with a given number of ... 5 algorithm as "a landmark decision tree program that is probably the ... J48 is an open source Java implementation of the C4.5 algorithm in the Weka ... In this sense, the performance of the proposed methodology was evaluated in a comparative way between the Random Forest and the type J48. Decision Tree. For ... Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... Apr 11, 2025 ... ... J48 algorithm. AIP Conf. Proc. 11 April 2025; 3270 (1): 020102 ... Research Tools and Procedures: An study using logistic regression and a J48 ... ... decision tree. For this purpose, the cost-sensitive J48 algorithm was used to develop the decision tree model. Results: Utilizing all the key features of ... ... Decision Stump, and J48 algorithms were used. According to these algorithms, the best classification rate has been reached with J48 algorithm. The results. 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 ...