… we are using support vector machine (SVM), Naive Bayes, and decision tree (J48) algorithms
for … This paper proposed feature selection methods. But these paper not used the confusion …

… This is shown in the Exactly dataset that produced similar classification accuracy in both
JRip and J48 classifiers and even higher accuracy in PART classifier. On the contrary, …

… In Hybrid Hoeffding Trees - several hybrid variants of the basic method using naïve bayes, …
by using different approaches for handling missing data instances, and feature selection then …

… Support vector machines (SVMs) are highly effective in traditional text categorization, and
can outperform Naive Bayes [11]. … This paper uses the J48 classifier which implements C4.5 …

… The objective of this work is to provide a detailed analysis of two feature selection methods
… classification methods namely, Naive Bayes, decision tree (J48), support vector machines (…

… reduced through the implementation of feature selection. Afterwards, with the application of
… it on support vector machine (SVM), J48, and Naïve Bayes so that they can classify attacks …

… Neural Network (NN), Naïve Bayes (NB, and support vector machine (SVM) and found to …
However, [11] used tree-based J48 while our research used KNN with NB and tested the …

… In this paper, a fuzzy backward feature elimination (FBFE) approach is used to eliminate the
… the DNA microarray data for support vector machine (SVM) and Naïve Bayes (NB) classifiers…

… as a combination of feature selection method by Gray Wolf … using various classification
algorithms such as Rep Tree, J48, … The results implied that the Naive Bayes algorithm presented …

… classification accuracy. Then, we compare the effect of eight selection procedures using
four features selection … classifiers: Naïve Bayesian, Multi-variant Bernoulli Naïve Bayes (MBNB) …