Are there other methods for assessing feature importance in decision trees?

Java implementation of the C4.5 algorithm is known as J48, which is available in WEKA data mining tool. Gain Ratio. Where: |Dj|/|D| acts as the weight of the ... Aug 29, 2022 ... While the Naïve Bayes Classifier has a lower level of accuracy, the prediction results tend to be better than the Decision Tree J48. The ... 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 ... Jul 12, 2019 ... In this study, a decision-making classifier (J48) is applied over a data-mining platform (Weka) to measure accuracy and linear regression on classification ... 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 ... Feb 25, 2022 ... ... J48 algorithms are used. As for the feature selection algorithm; Gain Ratio Attribute and ReliefF Attribute are selected. The results are ... Jun 6, 2023 ... With the. Page 2. Panji Satrio Bakti, Eliyani. Application of J48 and Naïve Bayes Algorithms to Predict Ream Bookings at PT. Nippon Presisi ... 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 ... Implementation of the vehicle classification based-on decision tree algorithm ... It uses the J48 classification algorithm implemented in Weka, a machine learning ... Mar 6, 2023 ... Building a Machine Learning Model Using J48 Classifier ... What is the J48 Classifier? J48 is a machine learning decision tree classification ...