… J48 have the highest accuracy measures with the correlation feature selection algorithms,
while Naïve Bayes … An improved version of K-means algorithm with support vector machine …

… such as Decision Dree, Naïve Bayes, back propagation based artificial neural network are …
attribute selection and multiclass support vector machine (IREMSVM) method for classification…

… is 0.767 for J48 classifier and 0.813 for Naive Bayes. In [23], a framework is proposed for …
Support Vector Machine Support Vector Machine (SVM) uses the kernel trick technique for …

… (SVM), Decision Tree (DT), K-Nearest Neighbor (KNN), Naïve Bayesian Classifier (NBC), …
of the Support Vector Machine (SVM) is better than other classification methods. In addition, …

… Naïve Bayesian classifier: This classifier is used for probabilistic learning in machine …
regression, neural networks, support vector machines, classification trees and random forests”, …

… machine learning techniques. They evaluated random forest, stochastic gradient boosting
and support vector machine … J48 is the Java implementation of C4.5 algorithm in Weka toolkit …

… while Support Vector Machine could reach to highest accuracy level with 91,67%. … and
frequently used classification techniques namely Bayesian Net, Naïve Bayes, J48, Random Tree, …

… machine learning technique like: bagging, Bayes net, classification via regression (CVR),
J48… , multilayer perceptron, naive Bayes, and support vector machine are utilised for software …

… Naïve Bayes, random forest, and support vector machine are used. Fast correlation-based
filter feature selection … The authors used J48 DT, K-NN RF, and SVM to classify the data. They …

… vectors’ classification using eleven algorithms such as Convolutional Neural Networks, Extreme
Learning Machines, and Support Vector Machines. … , NaiveBayes, MLP, SMO/SVM, J48, …