From: A deep auto-encoder model for gene expression prediction
Method | Hyperparameter | Hyperparameter value | MSE |
---|---|---|---|
Lasso | α | 0.05 | 0.3516 |
 |  | 0.1 | 0.3182 |
 |  | 0.2 | 0.3002 |
 |  | 0.3 | 0.2951 |
 |  | 0.4 | 0.2930 |
 |  | 0.5 | 0.2918 |
 |  | 0.6 | 0.2914 |
 |  | 0.7 | 0.2912 |
 |  | 0.8 | 0.2912 |
Random forests | Number of estimators | 10 | 0.3221 |
 |  | 20 | 0.3127 |
 |  | 30 | 0.3080 |
 |  | 40 | 0.3001 |
 |  | 50 | 0.2989 |
 |  | 60 | 0.3003 |
 |  | 70 | 0.2986 |
 |  | 100 | 0.3003 |
 |  | 150 | 0.2974 |
 |  | 200 | 0.2967 |
MLP-SAE model | Learning rate | 0.1 | 0.2890 |
 |  | 0.01 | 0.2909 |
 |  | 0.001 | 0.2895 |
 |  | 0.0001 | 0.2908 |
 |  | 0.00001 | 0.2918 |