eISSN 2093-744X
pISSN 1598-2645
pISSN 1598-2645
Loss and accuracy comparisons of different rumor text classification models
| Models | Loss | Accuracy (%) | ||
|---|---|---|---|---|
| Training | Validation | Training | Validation | |
| Rumor text classification using word vector features | 0.274 | 0.449 | 88.6 | 80.1 |
| Rumor text classification using user metadata features | 0.469 | 0.550 | 77.5 | 74.5 |
| Rumor text classification using reaction features | 0.644 | 0.647 | 63.5 | 63.6 |
| Rumor text classification using ensemble probabilistic features | 0.270 | 0.430 | 88.9 | 82.5 |
International Journal of Fuzzy Logic and Intelligent Systems 2022;22:325~338 https://doi.org/10.5391/IJFIS.2022.22.3.325
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