Table 4.
Classification of (1) resection vs. non-resection ROIs and (2) seizure-free vs. not seizure-free patients, using random forest and a linear support vector machine.
| Accuracy | Sensitivity | Specificity | ||
|---|---|---|---|---|
| Mean | Confidence interval | Mean | Mean | |
| Resection vs. non-resection ROIs | ||||
| Random forest | 60.34% | 59.98–60.71% | 61.45% | 59.52% |
| Support vector machine | 59.94% | 59.67–60.22% | 55.07% | 64.82% |
| Seizure-free vs. not seizure-free patients (MEG metrics only) | ||||
| Random forest | 49.03% | 47.25–50.82% | 49.40% | 48.67% |
| Support vector machine | 43.77% | 42.08–45.45% | 42.60% | 44.93% |
| Seizure-free vs. not seizure-free patients (MEG and clinical metrics) | ||||
| Random forest | 49.74% | 48.14–51.35% | 50.55% | 48.94% |
| Support vector machine | 42.95% | 41.54–44.36% | 42.12% | 43.77% |