Research Article
[Retracted] The Use of Genetic Algorithm, Multikernel Learning, and Least-Squares Support Vector Machine for Evaluating Quality of Teaching
Table 7
RMSE results of English teaching quality evaluation at three different age-group levels.
| Age-group levels | MK-LSSVM-GA | LSSVM | GBDT | RF | XGBoost | AdaBoost | KNN | BN | ANN |
| A level | 0.586 | 0.678 | 0.752 | 0.972 | 0.698 | 0.902 | 0.946 | 0.976 | 0.874 | B level | 0.495 | 0.731 | 0.818 | 0.898 | 0.861 | 0.851 | 0.908 | 0.858 | 0.844 | C level | 0.512 | 0.688 | 0.715 | 0.848 | 0.883 | 0.755 | 0.912 | 0.901 | 0.937 | Average | 0.531 | 0.699 | 0.762 | 0.906 | 0.814 | 0.836 | 0.922 | 0.912 | 0.885 |
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