In what situations is interpretability a more critical factor than pure predictive accuracy?

... 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 ... Oct 12, 2020 ... ID3 #C4.5 #J48 #CART #ntanetcomputerscience ID3,C4.5 J48 CART Decision Tree Construction. 5, J48, Tree Pruning, Reduced error pruning. INTRODUCTION. Decision trees are utilized to delineate decision-making process. It is a classifier embodied by a ... 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 paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... 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 ... 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 ... Jul 27, 2022 ... It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make ... Performance Comparison of Decision Tree J48, CART, and Naïve Bayes Algorithms for Predicting Chronic Kidney Disease. May 9, 2020 ... We apply different Machine Learning classification algorithms to predict an acceptance model of E-orientation systems.