Table 5. Classification effectiveness of all four classifiers using F-measure, ordered by increasing variance.
| Classifier | Max | Min | Δ | Var |
|---|---|---|---|---|
| SPegasos | 0.9866 | 0.8944 | 0.0922 | 0.00114 |
| Naive Bayes | 0.9571 | 0.8393 | 0.1178 | 0.00218 |
| C4.5 | 0.9748 | 0.8458 | 0.129 | 0.00292 |
| AdaBoost M1 | 0.9093 | 0.7639 | 0.1454 | 0.00299 |