How does the order of attributes in the dataset affect the J48 tree?

Evaluating the performance of the J48 decision tree. Description. This function evaluates the performance of the generated trees for error estimation by ... ... decision tree learners (). In this work, the J48 method (an implementation of the C4.5 algorithm), the CART (Classification and ... From the experimental results, J48 algorithm predicted the unknown category of crime data to the accuracy of 94.25287% which is fair enough for the system to be ... Specifically, we have used the Random Forest and J48 algorithms to obtain a sustainable and practicable model to detect various stages of CKD with comprehensive ... In this paper, in educational data mining we used data mining classification algorithms like J48 algorithm from decision tree to predict the student's ... Jul 29, 2019 ... The TB patient dataset is applied and tested in decision tree J48 algorithm using WEKA. The J48 model identi- fied the three (3) significant ... Sep 11, 2019 ... ... algorithms were used to impute missing data. The RF classification approach and J48 algorithm were applied on original complete data and the ... 5 algorithm as "a landmark decision tree program that is probably the ... J48 is an open source Java implementation of the C4.5 algorithm in the Weka ... algorithm "Rainbow" has no impact on J48 decision tree algorithm. After all, we concluded that there is no need for removing stop words, because according ... [16] data can be collected by different means like by using distributed questioner also; LR, J48, and ANN. Decision Tree classification technique gave better ...