What is the significance of the confidence factor in J48 pruning?

The model is used to classify new objects. II. DATA CLASSIFIER. In this paper, two classifiers, naive bayes algorithm and J48 decision tree algorithm are used ... J48 Classifier · Scheme: The classification algorithm used. · Instances: Number of data rows in the dataset. · Attributes: The dataset has 5 attributes. · The ... 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 ... Thanks to a collection of categorical data, we were able to apply the j48 algorithms of (ML) to create the workplace model of prediction. Overall, utilizing the ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. Jul 12, 2019 ... In this study, a decision-making classifier (J48) is applied over a data-mining platform (Weka) to measure accuracy and linear regression on classification ... Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... Aug 18, 2021 ... J48 algorithm is one of the most widely used machine learning algorithms to examine the data categorically and continuously. Feb 9, 2024 ... 1 Answer 1 · it is a numeric class attribute. – Adnan Abass. Commented Feb 10, 2024 at 8:24 · 1. That's your problem then, as J48 is a ... Implementation of the vehicle classification based-on decision tree algorithm ... It uses the J48 classification algorithm implemented in Weka, a machine learning ...