How can J48 be integrated with other machine learning algorithms?

In this sense, the performance of the proposed methodology was evaluated in a comparative way between the Random Forest and the type J48. Decision Tree. For ... Implementation of the vehicle classification based-on decision tree algorithm ... It uses the J48 classification algorithm implemented in Weka, a machine learning ... Jul 27, 2022 ... It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make ... [16] data can be collected by different means like by using distributed questioner also; LR, J48, and ANN. Decision Tree classification technique gave better ... J48 Classifier · Scheme: The classification algorithm used. · Instances: Number of data rows in the dataset. · Attributes: The dataset has 5 attributes. · The ... The classifier is estimated with the Weka J48 algorithm for decision trees learning, the same used by Fernández, Ginzburg, and Lappin (2007). The ... ... decision tree learners (). In this work, the J48 method (an implementation of the C4.5 algorithm), the CART (Classification and ... Abstract. The wide acceptance of decision tree classifiers lies with their fast performance and simple nature. The J48 group of decision tree classifiers are ... Java implementation of the C4.5 algorithm is known as J48, which is available in WEKA data mining tool. Gain Ratio. Where: |Dj|/|D| acts as the weight of the ... 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 ...