Table 13.
Standard deviation of results for the MIWS dataset.
| Algorithm | Features | MIWS | ||
|---|---|---|---|---|
| Precision | Recall | F1 score | ||
| MNB | TF-IDF | 0.005774 | 0.011547 | 0.005774 |
| TF-IDF + bigrams | 0.009574 | 0.005 | 0.008165 | |
| TF-IDF + trigrams | 0.01 | 0.01291 | 0.009574 | |
| Word2vec | 0.015 | 0.02 | 0.014142 | |
|
| ||||
| SVM | TF-IDF | 0.009574 | 0.01 | 0.005 |
| TF-IDF + bigrams | 0.070711 | 0.025 | 0.017321 | |
| TF-IDF + trigrams | 0 | 0.01291 | 0.021602 | |
| Word2vec | 0.005 | 0.01 | 0.005 | |
|
| ||||
| Random forest | TF-IDF | 0.01 | 0.01 | 0.005 |
| TF-IDF + bigrams | 0.005 | 0.005 | 0.005 | |
| TF-IDF + trigrams | 0.02 | 0.015 | 0.04 | |
| Word2vec | 0.005 | 0.005 | 0.005 | |
|
| ||||
| XGBoost | TF-IDF | 0 | 0.005 | 0.01 |
| TF-IDF + bigrams | 0.009574 | 0.005 | 0.01893 | |
| TF-IDF + trigrams | 0.005 | 0.01 | 0.005 | |
| Word2vec | 0.008165 | 0.009574 | 0.008165 | |