Table 4.
Average precision changes with CTD (training) + Triage (testing)
| Chemical names | BASE | IXN | TOPIC | IXN + TOPIC |
|---|---|---|---|---|
| 2-Acetylaminofluorene | 0.6776 | 0.6776 | 0.6814 | 0.7096 |
| Amsacrine | 0.7202 | 0.7308 | 0.7468 | 0.7577 |
| Aniline | 0.7625 | 0.7542 | 0.7477 | 0.7677 |
| Aspartame | 0.4902 | 0.4958 | 0.5269 | 0.5388 |
| Doxorubicin | 0.8767 | 0.8828 | 0.8871 | 0.8937 |
| Indomethacin | 0.9608 | 0.9610 | 0.9621 | 0.9604 |
| Quercetin | 0.9186 | 0.9190 | 0.9162 | 0.9189 |
| Raloxifene | 0.7820 | 0.7803 | 0.7737 | 0.7661 |
| Average performance | 0.7736 | 0.7752 | 0.7802 | 0.7891 |
Again a leave-one-out train and test procedure is followed. The full dataset was downloaded from the CTD database and used to augment the training. Any duplicates appearing in both training and testing sets were removed from the training set. ‘BASE’ uses word features without substance/journal names. ‘IXN’ and ‘TOPIC’ mean semantic and topic features, respectively. ‘BASE’ features are used for all the experiments.