TABLE 1. Comparison of 3-Category (AD, MCI, NC) cLassification Results.
| Method | Accuracy |
|---|---|
| LDA with Bayesian | 42.4% |
| LDA with AdaBoost | 69.7% |
| LR with L2 penalty | 36.4% |
| SVM with RBF kernel | 57.6% |
| Regularized LDA with AdaBoost | 75.8% |
| Method | Accuracy |
|---|---|
| LDA with Bayesian | 42.4% |
| LDA with AdaBoost | 69.7% |
| LR with L2 penalty | 36.4% |
| SVM with RBF kernel | 57.6% |
| Regularized LDA with AdaBoost | 75.8% |