How can J48 be implemented in Python using libraries like scikit-learn?

J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... Weka provides several decision tree algorithms in its environment. We used the Decision Tree algorithm J48, similar to the known induction algorithm called ... Jul 12, 2016 ... The objective of the study is to explore the potential of a J48 decision tree (JDT) in identifying water bodies using reflectance bands from Landsat 8 OLI ... J48 Classifier · Scheme: The classification algorithm used. · Instances: Number of data rows in the dataset. · Attributes: The dataset has 5 attributes. · The ... Mar 5, 2024 ... The J48 decision tree method demonstrated the highest precision and accuracy in the prediction of shoulder calcification resorption by ESWT. [16] data can be collected by different means like by using distributed questioner also; LR, J48, and ANN. Decision Tree classification technique gave better ... This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance. Mar 23, 2019 ... This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. ... Decision Stump, and J48 algorithms were used. According to these algorithms, the best classification rate has been reached with J48 algorithm. The results. 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 ...