Table 3.
Average classification accuracy from five-fold crossvalidation for feature selection and classifier combinations
| Feature Selection Method | Linear Discriminant Analysis | Random Forest | Logistic Regression |
|---|---|---|---|
| All Features | 36±9 | 64±13 | 58±37 |
| ANOVA | 65±19 | 64±6 | 63±15 |
| GFI | 68±9a | 67±12 | 65±31 |
| mRMR | 67±11 | 67±13 | 61±24 |
The four feature selection methods analyzed were: all features, ANOVA F-value, GFI, and mRMR. The three classifiers analyzed were LDA, RF, and LR. ANOVA, ANOVA F-value; LDA, linear discriminant analysis; RF, random forest; LR, logistic regression; GFI, Gini feature importance; mRMR, maximum relevance minimum redundancy.
a
Indicates the model that achieved the best crossvalidation performance.