Table 2 Average difference between the BST point and the stopping point chosen by various stopping rules. OU=Overall Average Uncertainty, MEE=Minimum Expected Error PA=Predicted Accuracy. The value in the parentheses denotes the threshold. The smaller the difference Δ ave value is, the better the stopping criterion is. The proposed method (PA) with threshold 0.9 performed the best
From: Deciding when to stop: efficient experimentation to learn to predict drug-target interactions
Methods | OU(0.12) | OU(0.09) | OU(0.06) | OU(0.03) | OU(adapted) |
|---|---|---|---|---|---|
Δ ave (%) | 40.1 (± 12.2) | 33.8 (± 17.8) | 40.1 (± 21.3) | 50.9 (± 5.4) | 28.2 (± 29.1) |
Methods | MEE(0.12) | MEE(0.09) | MEE(0.06) | MEE(0.03) | MEE(adapted) |
Δ ave (%) | 40.1 (± 11.7) | 38.3 (± 12.7) | 36.1 (± 13.4) | 40.6 (± 12.1) | 30.3 (± 12.6) |
Methods | PA(0.85) | PA(0.9) | PA(0.95) | Â | Â |
Δ ave (%) | 32.8 (± 8.8) | 13.7 (± 11.3) | 22.1 (± 15.4) |  |  |