Table 3 List of hyperparameters tuned during cross-validation
From: The effect of preprocessing filters on predictive performance in radiomics
Classifier | Hyperparameter |
|---|---|
Logistic regression | C in 2^{-6, -4, -2, 0, 2, 4, 6} |
Neural networks | Three layers with each 4, 16, or 64 neurons |
Random forest | Number of estimators 50, 125, or 250 |
Radial basis function Sector vector machine | C in 2^{-6, -4, -2, 0, 2, 4, 6}, gamma was set to auto |