Table 1.
Train and Test D1 (CV) | Train D1, Test D2 | Train and Test D2 (CV) | Train D2, Test D1 | |
---|---|---|---|---|
Accuracy | 0.649 (0.016) | 0.563 (0.016) | 0.560 (0.010) | 0.491 (0.031) |
Sensitivity | 0.602 (0.026) | 0.506 (0.016) | 0.498 (0.031) | 0.438 (0.026) |
Specificity | 0.665 (0.025) | 0.631 (0.037) | 0.590 (0.025) | 0.549 (0.031) |
# features (voxels) | 24.05 (1.05) | 28.74 (0.700) |
High pain = positive, low pain = negative for sensitivity/specificity calculation; CV, 10-fold cross validation; D1, day 1; D2, day 2. All values are mean (SEM), n = 19