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Overall performance (sensitivity × specificity) of classification machines.
| Group Classification | Dataset | GLM | SSM/PCA1 | SSM/PCA2 | SVM-ISDA | SVM-SMO |
|---|---|---|---|---|---|---|
| $AD vs. NL | ADNI | 0.675 | 0.626 | 0.703 | *0.803 | 0.797 |
| stable MCI vs. prodromal AD | ADNI | 0.472 | 0.406 | 0.493 | *0.514 | 0.477 |
| Winnipeg | *0.590 | 0.550 | 0.495 | *0.590 | 0.534 | |
| Busan (SPECT) | 0.000 | 0.000 | 0.000 | 0.525 | *0.563 |
*The best performance.
$Since this is the training set of the classification machines, the AD designation was based on 10-fold cross-validation.
