… , this paper proposes the RBF-Naive Bayes (RBFNB) prediction model to predict students’ …
X., Li N., Peng X., Gu P., Jia R., Prediction for student academic performance using SMNaive …

… (RNN) and DT techniques were employed to forecast student’s academic performance [5][6][7…
model, SM Naive Bayes (SMNB) model was developed to predict the student performance. …

… a Students’ performance Prediction Bayesian network (SPBN) to quantify the impacts of
several MOOC-related features, and then predict the students’ performance well via the …

… developing predictive models to predict student performance. The Machine … Prediction for
Student Academic Performance Using SMNaive Bayes Model” focuses on predicting student …

… ) and DT techniques were employed to forecast student’s academic performance [17][18][19][…
model, SM Naive Bayes (SMNB) model was developed to predict the student performance. …

… Jia, “Prediction for student academic performance using smnaive bayes model,” in … Inayati,
“Predictive model of student academic performance in private higher education institution (…

… SM-Naive-Bayes model to overcome the problem of low accuracy faced by classification
techniques to predict student … and academic performance has been predicted using machine …

… been used to predict students' academic success that potentially … use sensitive attributes to
predict students' academic success, … SMNaive Bayes Model,” in Advanced Data Mining and …

… predictions by a single model, we can combine several robust classifiers, called an ensemble
model. … is the combination of two classifiers, random forest and naïve Bayes algorithm. The …

… Phase I trial of the Sm-TSP/Alhydrogel with or without glucopyranosyl lipid A (GLA-AF)
formulation in non-endemic setting show the vaccine is safe and tolerable among Sm-naïve …