Table 2. Ideological classification results.
| RF | k-NN | |||
|---|---|---|---|---|
| Dataset | F-score | AUROC | F-score | AUROC |
| Transitive closure ℱtc | ||||
| Senate | 0.99 | 1.00 | 0.91 | 0.96 |
| House | 0.99 | 1.00 | 0.90 | 0.97 |
| Infoboxes ℱb | ||||
| Senate | 0.66 | 0.46 | 0.62 | 0.54 |
| House | 0.54 | 0.66 | 0.68 | 0.54 |
Out-of-sample F-score and Area Under Receiver Operating Characteristic (AUROC) of random forest (RF) and k-nearest neighbors (k-NN) classifiers trained on truth scores computed by the fact checker, using either the transitive closure or solely information from infoboxes.