Research Article
EMT: Ensemble Meta-Based Tree Model for Predicting Student Performance
Table 5
Boosting and Bagging a nominal class classifier Results.
| Algorithm name | Dataset | Boosting method | Bagging method | Accuracy | F-measure | ROC area | Accuracy | F-measure | ROC area | Accuracy | F-measure | ROC area |
| PART | 0.918 | 0.918 | 0.973 | 0.955 | 0.955 | 0.994 | 0.925 | 0.925 | 0.989 | A2DE | 0.895 | 0.895 | 0.973 | 0.877 | 0.877 | 0.970 | 0.893 | 0.893 | 0.977 | Multilayer perceptron | 0.910 | 0.910 | 0.968 | 0.920 | 0.920 | 0.960 | 0.905 | 0.905 | 0.981 | LocalKnn | 0.928 | 0.927 | 0.943 | 0.925 | 0.925 | 0.982 | 0.918 | 0.917 | 0.982 | J48 | 0.943 | 0.943 | 0.989 | 0.983 | 0.982 | 0.996 | 0.945 | 0.945 | 0.994 |
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