[Retracted] Predicting Course Grade through Comprehensive Modelling of Students’ Learning Behavioral Pattern

Algorithm 2

Prediction of students’ course grade according to their model.

	Input: U
	Output: prediction of students’ grade (A to F)
(1)	classification algorithms C = {Nearest Neighbors, Linear SVM, RBF SVM, Gaussian Process, Decision Tree, Random Forest, Neural Net, AdaBoost, Naive Bayes}
(2)	Evaluation measure  = {accuracy, precision, f1, recall, Jaccard, fbeta}
(3)
(4)	for i in C
(5)	Learning classification algorithm i with U
(6)	for j in
(7)	Evaluating the results of i with j
(8)	end
(9)	end
(10)	Choose the best classification algorithm by using TOPSIS
(11)	Select classification algorithm with highest performance
(12)	Use the algorithm to predict course grade
(13)	return prediction of students’ course grade