How does bootstrapping relate to the stability of decision trees?

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 ... This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... ... algorithm for tackling misclassification errors. The motivation ... We employ decision tree classification algorithms from Weka software such as J48, J48 ... 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 ... Sep 11, 2019 ... ... algorithms were used to impute missing data. The RF classification approach and J48 algorithm were applied on original complete data and the ... May 9, 2020 ... We apply different Machine Learning classification algorithms to predict an acceptance model of E-orientation systems. Jul 12, 2016 ... The objective of the study is to explore the potential of a J48 decision tree (JDT) in identifying water bodies using reflectance bands from Landsat 8 OLI ... Aug 1, 2018 ... Instead of manual evaluation through the usage of Snort IDS, a J48 decision tree (Weka package of C4.5 algorithm) is used. In this ... 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 ... The modified J48 classifier is used to increase the accuracy rate of the data mining procedure. The data mining tool WEKA has been used as an API of MATLAB for ...