Table 6 The effect of the gradient descent steps of inner-loops on performance of MetaILMC
From: Meta-learning-based Inductive logistic matrix completion for prediction of kinase inhibitors
| Â | # Gradient descent steps | ||||
|---|---|---|---|---|---|
| Â | 1 | 2 | 3 | 4 | 5 |
AUC | 0.8531 | 0.8552 | 0.8615 | 0.8754 | 0.8577 |
AUPR | 0.6863 | 0.6932 | 0.7005 | 0.7265 | 0.6988 |