Regression on DS2 (R-Squared)
0.9842R-SquaredBatch Regression
Evaluation results
| Method | Links | |
|---|---|---|
| Batch RegressionAlgorithm=Pseudo-Inverse2025.12 | 0.9842 | |
| MBGDLearning rate (eta)=0.01, Mini-batch size (K)=M * 5, Epochs (E)=NK * 102025.12 | 0.9838 | |
| RLSRegularization parameter (lambda)=0.99, Delta (delta)=0.012025.12 | 0.9827 | |
| OLR-WABase weight (Wbase)=0.5, Weight increment (Winc)=0.5, BK=N * 0.1, Mini-batch size (K)=M * 52025.12 | 0.9826 | |
| LMSLearning rate (eta)=0.012025.12 | 0.9824 | |
| SGDLearning rate (eta)=0.01, Epochs (E)=N * 22025.12 | 0.9823 | |
| OLRLearning rate (eta)=0.01, Epochs (E)=N * 2, Regularization parameter (lambda)=0.12025.12 | 0.9796 | |
| PAVariant=PA-III, Cost parameter (C)=0.1, Sensitivity parameter (epsilon)=0.12025.12 | 0.9764 | |
| ORRLearning rate (eta)=0.01, Epochs (E)=N * 2, Regularization parameter (lambda)=0.12025.12 | 0.9699 | |
| drGTEvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | 0.544 | |
| DeepDSCEvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | 0.503 | |
| DRPreterEvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | 0.462 | |
| NIHGCNEvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | 0.171 | |
| MOFGCNEvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | 0.168 | |
| GraphCDREvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | 0 | |
| SubCDREvaluation=5-fold CV, Masking=Randomly masked associations, Test=Test 12024.05 | -0.915 |