… such as Naïve Bayes, SVM-RBF kernel, RBF neural networks, decision tree (J48) and simple
… (WPSO) with smooth support vector machine (SSVM) for classification reached 98.42% . …

… problem in feature selection in finding the optimum features. … features by performing the
Naïve Bayes (NB), kNN (k-Nearest Neighbor), J48 (Decision Tree) and Support Vector Machine (…

… learning techniques eg the Naïve Bayes technique. Experimental … Tree (J48), Naïve Bayes,
Support Vector Machines and … less time eg Support Vector Machines. The performance of …

… For our experiments we have used the J48 class of C4.5 decision trees provided … based
feature selection using discriminative models- Logistic Regression and Support Vector Machine. …

… to build classification models such as Naïve Bayes, Logistic … fitness function is standardized
using J48 algorithm. Risk factors … The peak accuracy is achieved by support vector machine …

… feature selection by using Support Vector Machine is to reduce the computational complexity
and increase the classification accuracy of the selected feature … existing feature selection …

… For example, Naïve Bayes (NB) and Weighted Naïve Bayes … when 19 features are fed into
support vector machines, which is … MLP and J48 are combined, with PCA feature selection. …

… (SVM - Support Vector Machine), C4.5 (J48 - Decision Tree) and Naïve Bayes classification
… in this paper, those are: Naïve Bayes, Support Vector Machine and C4.5 Decision Tree to …

… techniques namely genetic algorithms, support vector machine, … classification algorithm
are used such as J48, Naïve bayes, Bayes net, IBK, OneR and JRip along with four feature …

… That is,naive Bayes and J48 have advantage with gain ratio than other … six classifiers
including support vector machines (with linear, polynomial and radial basis kernels), naive Bayes, k-…