Rank Allocation to J48 Group of Decision Tree Classifiers using Binary and Multiclass Intrusion Detection Datasets
Ranjit Panigrahi, Samarjeet Borah · Procedia Computer Science · 2018
The wide acceptance of decision tree classifiers lies with their fast performance and simple nature. The J48 group of decision tree classifiers are widely used for classification and decision-making process. In this paper, three popular J48 group classifiers, namely J48, J48Consolidated and J48Graft are evaluated using both binary and multi-class datasets across thirteen performance matrices, which is unique in its area. In order to come across a versatile classifier, the evaluated results of these classifiers are nourished to a prominent multi-criteria decision-making module called Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for suitable rank allocation.