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. 2018 Aug 7;9:647. doi: 10.3389/fneur.2018.00647

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%