… In this paper, effect of feature selection on supervised learning based classifiers is compared.
… using ensemble method and applying feature selection technique before classification. …

… as wrapper feature selection methods … Naïve Bayes and Decision Tree-J48, on selected
subsets and compared the performance of the classifiers. Results have shown that Naïve Bayes …

… feature selection, evaluates the efficiency of the ABCFS algorithm and improves the support
vector machine. … ) proposed the feature selectors and feature weights with Naive Bayes and …

… classification algorithms including Naïve Bayes, J48, Random Forest, Logistic Regression,
K-Nearest Neighbors, Support Vector Machines, … learning is Support Vector Machine. This …

… than the other data mining techniques Naïve Bayes and J48. … as a support vector machine.
This is also called a supervised … is known as Naïve Bayes. It is also a supervised learning …

… Forest and Support Vector Machines; and the results show that J48 decision … machine
learning framework such as Naïve Bayes, Decision Tree and Support Vector Machine by using …

… 82.78% for all the features and 86.34% for features selected. The accuracy for the proposed
algorithm is high when compared to other features selection like Naïve Bayes, K-the nearest …

… , Random Forest, J48, Support Vector Machine (SVM), and … on the benchmark dataset based
on the optimized features (ie, … Naïve Bayes with other methods by using optimized features. …

… However, The Naïve Bayes algorithm has the fastest runtime … proposed classification models
and found that the J48 model … five classification models including support vector machine, …

… The first classification uses Support Vector Machine (SVM) with linear kernels, which finds
… IDS applications using three classification methods: SVM, Naïve Bayes, and J48. The first …