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. 2019 Jun 11;19(11):2645. doi: 10.3390/s19112645

Table 3.

Results of transfer learning on four datasets.

Dataset Classification Sensitivity Specificity Precision EER FPR F1 Score Accuracy Learning Time
OASIS
(GM)
Binary 0.89 0.84 0.84 0.13 0.16 - 0.8621 93 min 6 s
Multiple 60.28% 49.20% 49.20% 0.40 0.51 54.18% 0.6028 76 min 14 s
OASIS
(WM)
Binary 0.66 0.92 0.89 0.2 0.08 - 0.8046 120 min 4 s
Multiple 37.01% 35.25% 35.25% 0.63 0.65 36.11% 0.3701 113 min 23 s
OASIS
(CSF)
Binary 0.66 0.88 0.85 0.22 0.12 - 0.7816 118 min 13 s
Multiple 67.33% 62.63% 62.63% 0.33 0.38 64.90 0.6733 110 min 24 s
OASIS
(Un-segmented)
Binary 1 0.82 0.847 0.1 0.18 - 0.8966 125 min 20 s
Multiple 92.85% 74.27% 74.27% 0.07 0.26 82.53 0.9285 117 min 15 s