How can reproducibility be ensured when working with J48 and other machine learning algorithms?

Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... 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. For instance, for the J48 algorithm, which has 10 parameters in total, we have defined a chromosome divided in. 10 genes, each gene with a given number of ... Laxmikant Dewangan, Mausami Kar, “Classification of epileptic EEG signals based on J48 Classifier based feature selection”, (Published by IJRASET, INDIA) ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. 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 ... 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 ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... This study implements and compares three machine learning algorithm Bayes Network, J48 Decision tree and OneR Algorithm for credit card fraud detection. WEKA: ... 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 ...