PPSP prediction on PPSP (train)
0.881AUROCIdentity
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| IdentityBackbone=PubMedBERT, Classifier=MLP2023.08 | 0.881 | 0.541 | |
| ReliefFBackbone=PubMedBERT, Classifier=MLP2023.08 | 0.861 | 0.348 | |
| RFEBackbone=PubMedBERT, Classifier=MLP2023.08 | 0.834 | 0.452 | |
| SFM-LinearSVMBackbone=PubMedBERT, Classifier=MLP2023.08 | 0.791 | 0.286 | |
| Std. Dev.Scorer=MI & STS, FT Dataset=combined, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.774 | 0.316 | |
| mRMRScorer=STS, FT Dataset=combined, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.741 | 0.206 | |
| Top NScorer=STS, FT Dataset=combined, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.737 | 0.16 | |
| Top NScorer=MI & STS, FT Dataset=combined, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.734 | 0.138 | |
| SFM-XGBoostBackbone=PubMedBERT, Classifier=MLP2023.08 | 0.679 | 0.151 | |
| mRMRScorer=MI, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.591 | 0.075 | |
| Top NScorer=MI, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.521 | 0.048 | |
| Std. Dev.Scorer=MI, Backbone=PubMedBERT, Classifier=MLP2023.08 | 0.494 | 0.044 |