How can cross-validation be used to evaluate the robustness of a J48 model?

Jul 7, 2024 ... Algorithm: J48, an extension of ID3 algorithm, also known as C4.5. Outcome: Construct a decision tree structure to classify data. Key Concepts. 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 ... 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 ... Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... ... algorithm for tackling misclassification errors. The motivation ... We employ decision tree classification algorithms from Weka software such as J48, J48 ... 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 ... Sep 4, 2024 ... Various data mining technique models use machine learning combined with various algorithms, including the J48 algorithm. The J48 algorithm ... 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 ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. The case study was focused ...