… the feature selection approaches tested on Naive Bayes … Support Vector Machine SVM are
a classification approach that involves projecting input data points into n-dimensional vector …

… SVM (Support Vector Machine) - the main goal of SVM is to … the training set, called the support
vectors. SVMs are used in … The model built after attribute selection using the Naive Bayes …

… feature selection. This research work performs a comparative analysis to several filter-based …
Three generic classifiers (Naive Bayes, support vector machines, J48 decision trees) were …

… In this research, the algorithm that produces the greatest accuracy value in spam
classification on email is the Support Vector Machine algorithm where the accuracy value of this …

… Vladimir Vapnik firstly explained Support Vector Machines (… Finally, they came to conclusion
that fusion of J48 and MLP … classifiers such as SVM, Naive Bayes and Decision Tree and …

… RF), Logistic Regression (LR), and Naïve Bayes (NB) classifiers are used for … , and then J48
was applied as a classifier. By … hybrid support vector machine and extreme learning machine …

… Alehegn et al has used KNN , random forest , naïve bayes and J48 classifiers for their model…
Naïve Bayes, support vector machine, logistic regression and random forest classifiers using …

… (GNB), k-Nearest Neighbor (k-NN), Logistic Regression (LR) and Support Vector Machine
(… using an artificial neural network, J48 decision tree and naïve Bayes. To compare the many …

… namely Naive Bayes, RBF Network and J48 to construct prediction models. The Naive
Bayes model was shown to be the most accurate for predicting the outcome by 97.36%. …

… classification techniques like decision tree, naive bayes, support vector machine etc. as
classifiers for classification … , we apply machine learning algorithms like Naïve Bayes, J48, RF, …