Table 1. The jackknife success rates achieved by iATC-mHyb and ATC-mISF on the benchmark dataset of Eq.1 (cf. Supporting Information S1).
Predictor | Five metrics for multi-label systema | ||||
---|---|---|---|---|---|
Aiming↑b | Coverage↑b | Accuracy↑b | Absolute true↑b | Absolute false↓c | |
iATC-mISFd | 67.83% | 67.10% | 66.41% | 60.98% | 5.85% |
iATC-mHybe | 71.91% | 71.46% | 71.32% | 66.75% | 2.43% |
aSee Eq.12 for the definitions of the five metrics used to measure the prediction quality for multi-label systems [3].
bThe upper arrow means that the larger the rate the better the prediction quality is.
cThe down arrow means that the smaller the rate the better the prediction quality is.
dThe predictor proposed in [4].
eThe predictor proposed in the current paper.