Table 2.
Averaged group classification performance–over the 10,000 times of iterative process composed of random permutations (to split the two groups combined into (n‐10; n = 51 for FEP‐AH vs. FEP‐NAH, n = 123 for FEP‐AH vs. HC, n = 120 for FEP‐NAH vs. HC) training subjects vs. 10 testing subjects) with subsequent group classification using the SVM‐of the optimal feature set of SVM group classifier (neuroanatomical decision function)
| Binary classifier | FEP‐AH vs. FEP‐NAHa | FEP‐AH vs. HCb | FEP‐NAH vs. HCc | |||
|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | Mean | SD | |
| CSA‐ISC | ||||||
| True positive | 4.62 | 1.34 | 4.64 | 1.36 | 4.50 | 1.36 |
| True negative | 3.74 | 1.30 | 4.51 | 1.38 | 4.40 | 1.37 |
| False positive | 0.98 | 0.89 | 0.48 | 0.69 | 0.62 | 0.79 |
| False negative | 0.66 | 0.82 | 0.37 | 0.62 | 0.48 | 0.72 |
| Sensitivity (%) | 82.84 | 15.65 | 90.96 | 13.30 | 88.38 | 14.74 |
| Specificity (%) | 85.66 | 17.41 | 92.51 | 12.69 | 90.52 | 14.17 |
| Accuracy (%) | 83.61 | 10.91 | 91.52 | 8.53 | 88.99 | 9.71 |
| Positive predictive value (%) | 88.13 | 14.20 | 93.15 | 11.57 | 90.97 | 13.51 |
| Negative predictive value (%) | 79.99 | 17.74 | 90.96 | 13.16 | 88.30 | 14.91 |
| CT‐ISC | ||||||
| True positive | 4.78 | 1.32 | 4.42 | 1.39 | 4.71 | 1.38 |
| True negative | 3.45 | 1.27 | 4.68 | 1.41 | 4.58 | 1.39 |
| False positive | 1.27 | 0.99 | 0.32 | 0.56 | 0.42 | 0.65 |
| False negative | 0.50 | 0.77 | 0.58 | 0.70 | 0.29 | 0.52 |
| Sensitivity (%) | 79.48 | 15.53 | 93.35 | 11.89 | 92.07 | 12.57 |
| Specificity (%) | 88.64 | 17.04 | 88.99 | 13.57 | 94.12 | 10.90 |
| Accuracy (%) | 82.30 | 10.65 | 90.97 | 8.49 | 92.95 | 7.75 |
| Positive predictive value (%) | 91.39 | 13.04 | 88.69 | 13.87 | 94.60 | 9.94 |
| Negative predictive value (%) | 73.88 | 19.39 | 93.88 | 10.81 | 92.06 | 12.41 |
Abbreviations: FEP, first episode psychosis; AH, auditory hallucination; NAH, without auditory hallucination; HC, healthy control; CT, cortical thickness; ISC, correlative morphological features; CSA, cortical surface area; K, feature ranking; SD, standard deviation.