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Feature selection results for features selected from (A) feature set 1 and (B) feature set 2. MARS (Multi-adaptive regression splines), RF (Random Forest), GPR (Gaussian process regression) were the surrogate models implemented for the selection of the features that have a significant impact on classification. The other feature selection methods were PCA (Principal component analysis) and correlations between the variables.
