TABLE 1.
RF (threefold CV) | XGBoost (threefold CV) | |
Adrenal gland | Mtry = 0.1 × M | Colsample = 0.01 |
Ntree = 2,000,000 | Eta = 0.5 | |
Hypothalamus | Mtry = sqrt (M) | Colsample = 0.01 |
Ntree = 2,000,000 | Eta = 0.5 | |
Liver | Mtry = sqrt (M) | Colsample = 0.01 |
Ntree = 1,000,000 | Eta = 0.01 | |
Muscle | Mtry = sqrt (M) | Colsample = 0.01 |
Ntree = 1,000,000 | Eta = 0.01 | |
Pituitary | Mtry = 0.1 × M | Colsample = 0.03 |
Ntree = 2,000,000 | Eta = 0.01 |
M, total number of genes in individual tissue; Ntree, number of trees; Mtry, number of genes for forming a decision tree; colsample, proportion of genes subsampled for a decision tree; eta, learning rate; CV, cross validation.