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. 2022 May 20;22:94. doi: 10.1186/s12880-022-00818-1

Table 13.

The result of tenfold cross-validation of VGGNet for classification accuracy

NE. (%) EO. (%) BA. (%) LY. (%) MO. (%)
Fold-0 100 2 21 0 32
Fold-1 100 0 0 0 75
Fold-2 100 3 31 0 57
Fold-3 100 87 47 16 12
Fold-4 100 84 81 4 74
Fold-5 100 33 0 20 89
Fold-6 100 0 7 40 68
Fold-7 100 44 2 1 12
Fold-8 100 62 16 0 51
Fold-9 100 64 21 8 57
Avr. Acc. 100 38 23 9 53

The Aver. Acc. for five classes is 44%