How does the complexity of the decision boundary learned by J48 relate to the tree structure?

Jul 15, 2018 ... Information Gain &. Fuzzy Rule Induction. Classifier (Combined. Algorithm). FURIA, JRip and J48 has recorded similar accuracy rate at 99% and ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... the J48 Decision Tree algorithm and the combination of J48 with Freeling and Leffe ... the J48 Decision Tree algorithm over all eval- uation datasets are ... 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 ... Nov 29, 2023 ... Tree-based Data Mining Algorithms. J48: J48 is the implementation of Quinlan's C4.5 algorithm to generate a trimmed decision tree. Initially ... May 18, 2024 ... Currently, many studies have utilized machine learning methods such as the decision tree algorithms C4.5, ID3, CART, J48, random forest, and ... This study implements and compares three machine learning algorithm Bayes Network, J48 Decision tree and OneR Algorithm for credit card fraud detection. WEKA: ... Laxmikant Dewangan, Mausami Kar, “Classification of epileptic EEG signals based on J48 Classifier based feature selection”, (Published by IJRASET, INDIA) ... 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 4, 2024 ... Various data mining technique models use machine learning combined with various algorithms, including the J48 algorithm. The J48 algorithm ...