Table 1.
Comparison of classification and regression performance.
| Our method | Classification accuracy | RMSE (mean ± std) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Memory score | # subjects | # AD | # HC | Classification accuracy | Regression RMSE | Logistic regression | SVM | Multivariate regression | Ridge regression |
| MMSE | 378 | 175 | 203 | 0.881 | 0.034 ±0.002 | 0.832 | 0.783 (linear kernel) | 0.041 ± 0.003 | 0.039 ± 0.004 |
| RAVLT | 371 | 172 | 199 | 0.884 | 0.019 ±0.001 | 0.839 (Polynomial kernel) | 0.028 ± 0.002 | 0.024 ± 0.003 | |
| TRAILS | 369 | 166 | 203 | 0.864 | 0.043 ±0.002 | 0.796 (Gausssian kernel) | 0.049 ± 0.003 | 0.046 ± 0.003 | |