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. 2015 Sep 24;9:507. doi: 10.3389/fnhum.2015.00507

Table 2.

Group mean percent and marginal totals (± SD) of true positive, false positive, true negative and false positive epochs comparing expert vs. expert, expert vs. non-expert and expert vs. automatically detected spindles.

Positive Negative Total
EXPERT 1 vs. EXPERT 2 DETECTIONS
True 11.48% 69.22% 3882 ± 451.83
False 1.97% 17.34% 928 ± 194.45
Total 647 ± 232.70 4164 ± 413.58 4811 ± 323.14
EXPERT 1 vs. NON-EXPERT DETECTIONS
True 25.36% 62.58% 3552.93 ± 325.84
False 8.27% 3.79% 487.23 ± 178.64
Total 1358.54 ± 284.08 2681.62 ± 220.40 4040.16 ± 252.24
EXPERT 2 vs. NON-EXPERT DETECTIONS
True 9.76% 78.89% 3568.15 ± 232.16
False 7.67% 3.68% 456.77 ± 149.07
Total 701.31 ± 172.87 3323.61 ± 208.37 4024.92 ± 190.62
EXPERT 1 vs. AUTOMATED DETECTIONS
True 19.94% 63.66% 4024.73 ± 380.99
False 7.48% 8.91% 789.14 ± 230.50
Total 1320.27 ± 231.83 3493.60 ± 379.66 4813.87 ± 305.74
EXPERT 2 vs. AUTOMATED DETECTIONS
True 10.10% 68.77% 3795.13 ± 376.78
False 17.83% 3.30% 1016.74 ± 176.37
Total 1343.67 ± 242.89 3468.20 ± 310.25 4811.87 ± 276.57
NON-EXPERT vs. AUTOMATED DETECTIONS
True 53.69% 13.58% 1142.68 ± 326.11
False 26.08% 6.65% 555.92 ± 196.02
Total 1354.92 ± 211.88 343.68 ± 310.25 1698.60 ± 261.07