Table 5 The effect of various outer-loop learning rate \({\varvec{\beta}}\) on performance of MetaILMC
From: Meta-learning-based Inductive logistic matrix completion for prediction of kinase inhibitors
| Â | Outer-loop learning rate \(\beta\) | ||||
|---|---|---|---|---|---|
| Â | 0.1 | 0.01 | 0.005 | 0.001 | 0.0001 |
AUC | 0.8446 | 0.8754 | 0.8538 | 0.8515 | 0.7737 |
AUPR | 0.6885 | 0.7265 | 0.7017 | 0.7005 | 0.5322 |