Table 2. Partitioning Schemes Before (Top) and After (Bottom) the Application of the ADa.
| data set | # | P– | P+ | IR |
|---|---|---|---|---|
| TS | 431 | 351 | 80 | 4.4 |
| VS | 114 | 90 | 24 | 3.7 |
| ES1 | 133 | 112 | 21 | 5.3 |
| ES2 | 20 | 11 | 9 | 1.2 |
| within the AD | ||||
| VS | 112 | 88 | 24 | 3.6 |
| ES1 | 117 | 99 | 18 | 5.5 |
| ES2 | 20 | 11 | 9 | 1.2 |
For PLD-DB, the number of noninducers (P−) and inducers (P+) chemicals is reported for the training set (TS), validation set (VS), largest (ES1), and smallest (ES2) external sets. Notably, the total number of chemicals (#) is also reported.