Table 2 The meaning of parameter setting
Parameter | Value | Definition |
|---|---|---|
NRuns | 20 | No of runs |
Problem Dimensions | – | No of features in the dataset. |
X* | 2916 | The number of data produced after the bootstrap resamples method. |
M | 100 | The number of trees using in the Random Forest algorithm. |
Criterion | – | The method which measures the quality of split, Entropy is applied. |
min_samples_leaf | 100 | The minimum number of samples required to be at a leaf node. |
RFE estimators | – | A supervised learning algorithm. LR is applied. |
C | 0.05 | Regularization parameter. |
Max-iteration | 100 | Max iteration in LR classifier. |
Tol | 0.0001 | Tolerance to stop criteria in LR classification. |
CV | 10 | No of folds in cross-validation. |