… A classifier ensemble is built as a base classifier using the Support Vector Machine (SVM)
and … of ML classifiers comprising Bayesian Network, J48, and Naive Bayes [15]. In this model, …

… , while the Support Vector Machine (Sigmoid) has an accuracy of 70%, without feature
selection the C5. 0 algorithm has an accuracy of 66%, Support Vector Machine between RBF and …

… Experiments were set up using feature selection on a … They found Naïve Bayes, Multilayer
Perceptron, SMO, J48, and … Support for better performance on Naïve Bayes on smaller …

… : SVM, multilayer perceptron, J48 and K Nearest Neighbours (KNN… algorithm when used with
Support Vector Machine (SVM) … : naive Bayes, KNN, decision tree and bagging. Rather than …

… and found that Bayes network and support vector machine (SVM) … approach (Greedy Stepwise
+ Naive Bayes), Multilayer … ) in J48 classifier based on Genetic Search feature selection …

… more important features. In the second step, the Support Vector Machine (SVM) classification
… “A new classifier for breast cancer detection based on Naïve Bayesian,” Measurement, Vol. …

… than the feature selection process in a … ), Naïve Bayes (NB), Multi-layer Perceptron (MLP)
neural network. For C4.5, we used its Java implementation in Weka which is known as (J48). …

… , Naive Bayes’ and Support Vector Machine while feature … mining method like Naïve Bayes,
J48 decision tree and Bagging … system based on Multi-Layer Perceptron and Support Vector …

… studies to implement the machine learning-based classification process: naive Bayes [6], …
use of feature selection is able to reduce the number of features and improve the classification …

… , support vector machine, k-nearest neighbors, stochastic gradient descent learning, naïve
Bayes… was BestFirst, and the chosen machine learning classifier was J48; we set the values of …