TABLE 2.
Classification performance of all random forest classifiers
| Feature set | Accuracy | Sensitivity | Specificity | |||
|---|---|---|---|---|---|---|
| Mean | SEM | Mean | SEM | Mean | SEM | |
| VOL | 59.66 | 1.19 | 52.38 | 1.44 | 66.93 | 2.40 |
| rsFC | 61.66 | 1.50 | 54.74 | 1.66 | 68.57 | 1.43 |
| rsDyn | 56.35 | 1.37 | 56.42 | 2.48 | 56.29 | 2.09 |
| VOL + rsFC | 66.82 | 0.01 | 62.50 | 0.02 | 71.14 | 0.04 |
| VOL + rsDyn | 62.85 | 0.01 | 63.42 | 0.01 | 62.29 | 0.03 |
| rsFC + rsDyn | 64.36 | 0.01 | 61 | 0.01 | 67.71 | 0.02 |
| VOL + rsFC + rsDyn | 65.01 | 0.005 | 58.58 | 0.02 | 71.43 | 0.01 |
Abbreviations: rsFC, resting state functional connectivity; rsDyn, resting state dynamics; SEM, standard error of the mean; VOL, brain volume. The bold values represent the highest accuracy/sensitivity/specificity.