[Retracted] The Use of Genetic Algorithm, Multikernel Learning, and Least-Squares Support Vector Machine for Evaluating Quality of Teaching

Table 2

A list of the experimental benchmark models.

No.	Methodology	Description
1	MK-LSSVM-GA (proposed)	The proposed method: a method of MK-LSSVM and GA. MK-LSSVM is employed for the quality of teaching regression, and GA is used for the optimization
2	LSSVM	LSSVM is proposed to evaluate teaching quality without GA and multikernel learning
3	GBDT	GBDT is proposed to evaluate teaching quality
4	RF	Random forest is proposed to evaluate teaching quality
5	XGBoost	XGBoost is proposed to evaluate teaching quality
6	AdaBoost	AdaBoost-based method is proposed to evaluate teaching quality
7	KNN	K-nearest neighbor is proposed to evaluate teaching quality
8	BN	Bayesian network is proposed to evaluate teaching quality
9	ANN	Method based on artificial neural network is proposed to evaluate teaching quality