Research Article
Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning
Table 5
Algorithm comparison results.
| Algorithm | Class | Accuracy | Precision | Recall | F1-score |
| SVM | N | 0.917 | 0.917 | 0.911 | 0.914 | R | 0.918 | 0.924 | 0.921 |
| NB | N | 0.813 | 0.819 | 0.815 | 0.817 | R | 0.808 | 0.812 | 0.810 |
| RF | N | 0.935 | 0.945 | 0.917 | 0.931 | R | 0.926 | 0.951 | 0.938 |
| LR | N | 0.905 | 0.918 | 0.873 | 0.898 | R | 0.893 | 0.928 | 0.910 |
| J48 | N | 0.923 | 0.916 | 0.931 | 0.920 | R | 0.933 | 0.922 | 0.926 |
| tanh-RNN | N | 0.873 | 0.956 | 0.782 | 0.861 | R | 0.816 | 0.964 | 0.884 |
| DT-rank | N | 0.732 | 0.726 | 0.749 | 0.737 | R | 0.738 | 0.715 | 0.726 |
| CAMI | N | 0.933 | 0.945 | 0.921 | 0.932 | R | 0.921 | 0.945 | 0.933 | Stacking | N | 0.935 | 0.960 | 0.902 | 0.930 | R | 0.914 | 0.965 | 0.939 |
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