Research Article
Detection of Online Fake News Using Blending Ensemble Learning
Table 2
Performance metrics for the ISOT dataset.
| ā | ISOT dataset using n-gram | ROC AUC | f1-score | AUC | Precision | Recall | Accuracy % |
| Logistic regression (LR) classifier | 0.998 | 0.979 | 0.997 | 0.981 | 0.978 | 98.036 | Linear discriminant analysis (LDA) classifier | 0.997 | 0.977 | 0.997 | 0.986 | 0.969 | 97.875 | Stochastic gradient descent classifier (SGDC) | 0.998 | 0.982 | 0.997 | 0.980 | 0.983 | 98.254 | Ridge classifier (RC) | 0.998 | 0.980 | 0.997 | 0.979 | 0.981 | 98.071 | Linear support vector machine (SVM) classifier | 0.998 | 0.983 | 0.998 | 0.983 | 0.983 | 98.387 | Blending (BLD) ensemble | 0.998 | 0.984 | 0.997 | 0.984 | 0.984 | 98.481 |
|
|