Table 3 The effect of the number of meta-training tasks on performance of MetaILMC
From: Meta-learning-based Inductive logistic matrix completion for prediction of kinase inhibitors
| Â | The number of meta-training tasks | ||
|---|---|---|---|
| Â | 5 tasks | 15 tasks | 27 tasks |
AUC | 0.7937 | 0.8459 | 0.8754 |
AUPR | 0.5974 | 0.6761 | 0.7265 |