Clinical trial outcome prediction on TOP Phase I (test)
0.638PR-AUCRRF
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RRFNotes=mean±SD over 10 training repeats2025.05 | 0.638 | 0.596 | 0.655 | |
| LogReg (EN)Regularization=Elastic Net, Notes=mean±SD over 10 training repeats2025.05 | 0.632 | 0.594 | 0.641 | |
| DeepEnroll2025.05 | 0.568 | 0.575 | 0.648 | |
| HINT2025.05 | 0.567 | 0.576 | 0.665 | |
| COMPOSE2025.05 | 0.564 | 0.571 | 0.658 | |
| FFNNDescription=feed-forward neural network2025.05 | 0.547 | 0.55 | 0.634 | |
| kNN+RFDescription=k-nearest neighbours + random forest2025.05 | 0.531 | 0.538 | 0.625 | |
| AdaBoost2025.05 | 0.519 | 0.526 | 0.622 | |
| RFDescription=random forest2025.05 | 0.518 | 0.525 | 0.621 | |
| LRDescription=logistic regression2025.05 | 0.5 | 0.52 | 0.604 |