Table 3.
The pipeline of the model with the best performance.
Modeling steps | Method |
---|---|
Data normalization | Min-max |
Dimension reduction | PCA |
Feature selection | KW |
Classifier | SVM |
(PCA: principal component analysis; KW: Kruskal–Wallis test; SVM: support vector machine).