How does the performance of J48 scale with the amount of training data?

Abstract. The wide acceptance of decision tree classifiers lies with their fast performance and simple nature. The J48 group of decision tree classifiers are ... Laxmikant Dewangan, Mausami Kar, “Classification of epileptic EEG signals based on J48 Classifier based feature selection”, (Published by IJRASET, INDIA) ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... ALGORITHMS CHOSEN FOR INTRUSION DETECTION SYSTEM. The algorithm which have been chosen to implement IDS are as under: J48 ALGORITHM: C4.5 is a successor of ... Weka provides several decision tree algorithms in its environment. We used the Decision Tree algorithm J48, similar to the known induction algorithm called ... From the experimental results, J48 algorithm predicted the unknown category of crime data to the accuracy of 94.25287% which is fair enough for the system to be ... 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 ... Jul 2, 2023 ... The J48 algorithm was applied to the weather.nominal.arff file in Weka to produce the decision tree shown below. Next, we apply the decision tree to the ... Jul 15, 2018 ... Information Gain &. Fuzzy Rule Induction. Classifier (Combined. Algorithm). FURIA, JRip and J48 has recorded similar accuracy rate at 99% and ... 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 ...