What are some evaluation metrics for models in the presence of concept drift?

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5, J48, Tree Pruning, Reduced error pruning. INTRODUCTION. Decision trees are utilized to delineate decision-making process. It is a classifier embodied by a ... Oct 12, 2020 ... ID3 #C4.5 #J48 #CART #ntanetcomputerscience ID3,C4.5 J48 CART Decision Tree Construction. Sep 15, 2023 ... J48 algorithm was chosen from the WEKA software tool to develop the Decision Tree. Results: The Decision Tree comprises root nodes, branches ... Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... The classifier is estimated with the Weka J48 algorithm for decision trees learning, the same used by Fernández, Ginzburg, and Lappin (2007). The ... Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. 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 ... J48 is one of the decision tree techniques implemented from C4.5 algorithm. It consists of four main programmes; the decision tree generator, production rule ... May 9, 2020 ... We apply different Machine Learning classification algorithms to predict an acceptance model of E-orientation systems.
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