What are the challenges and opportunities in integrating machine learning models like J48 with human decision-making processes?

Jul 15, 2018 ... Information Gain &. Fuzzy Rule Induction. Classifier (Combined. Algorithm). FURIA, JRip and J48 has recorded similar accuracy rate at 99% and ... This study implements and compares three machine learning algorithm Bayes Network, J48 Decision tree and OneR Algorithm for credit card fraud detection. 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 ... 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 ... May 9, 2020 ... We apply different Machine Learning classification algorithms to predict an acceptance model of E-orientation systems. In next phase for classification of flowers we have used classification techniques in which we found the accuracy score of j48 classifier is higher than Naïve ... J48, with its roots in the C4.5 algorithm, offers a compelling blend of simplicity, interpretability, and accuracy. It empowers you to make data-driven ... Oct 12, 2020 ... ID3 #C4.5 #J48 #CART #ntanetcomputerscience ID3,C4.5 J48 CART Decision Tree Construction. is the Weka implementation of the standard decision tree algorithm C4.5 [14] as rule ... edClassifier using J48 as the classifier (FS-J48). 3) J48 trees obtained ... ... Decision Stump, and J48 algorithms were used. According to these algorithms, the best classification rate has been reached with J48 algorithm. The results.