… Naïve Bayes Classifier techniques to test the performance. The random forest classifier with
its associated Gini feature … They conclude that NB and J48 are the top performance classifier. …

… for classification using Naïve Bayes (NB), Support Vector … The Naïve Bayes (NB) and
J48(C4.5) techniques are … used are Naïve Bayes, Support Vector Machine and Decision …

… Fadratul Hafinaz Hassan [13] Many of the cancer prediction algorithms included in these
proposed studies include support vector machine, linear regression, and decision tree methods…

… Step 2: Factor selection We next used the ORAE feature selection technique to select the
most important factors for landslide occurrence in the study area (Section 4.7). …

… of features which are reduced using feature selection technique. … Naïve Bayes, J48 and
OneR algorithms for classifying … , gradient boosting, and support vector machines were applied. …

… and Smooth Support Vector Machine (SSVM) classification to … of the selected attribute which
are performing in Naïve Bayes … We use J48 algorithm here. This algorithm is dependent on …

… Support Vector Machine (SVM), Random Forest (RF), KNN and Naive Bayes classifier after
feature selection using … with conventional algorithm like RF, J48 and RT. And author come to …

… by Naïve Bayes, k-Nearest Neighbor, Support Vector Machine… , LR, and J48 order strategies:
(i) various analysts use NBM to … Text categorization with support vector machines: Learning …

… function networks and support vector machines were applied … Using four data mining classifiers
SVM, J48, k-NN and Naive … , KNN, Naive Bayes and Perceptron with ten features are 98.8…

… and contrast J48, Decision Tree, KNN, SMO, and Nave Bayes, as well as other classification
… If f is a support vector machine classification function, then , P stands for the domain (here ie …