What are some common pitfalls to avoid when using the J48 algorithm?

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 ... The J48 algorithm was used to classify 116 instances also,10-fold cross validation and holdout procedure were used coupled changing of random seed. Average ... This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance. Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... Sep 4, 2024 ... Various data mining technique models use machine learning combined with various algorithms, including the J48 algorithm. The J48 algorithm ... [16] data can be collected by different means like by using distributed questioner also; LR, J48, and ANN. Decision Tree classification technique gave better ... The J48 algorithm is produced by a supplier selection model with 2 rule selection models to classify efficient suppliers and inefficient suppliers. The accuracy ... 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 ... 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 ... Apr 1, 2018 ... Hence, this paper works only the decision tree classification algorithms due to their hierarchal nature, diversity, and simplicity, these are ...