Table 4. Accuracy of various models.
Testing fold | Training fold | Accuracy | |||
---|---|---|---|---|---|
k-NN | SVM | VGG-19 | Inception v3 | ||
1 | 2-9 | 90.625 | 96.875 | 89.625 | 98.438 |
2 | 1,3-10 | 84.375 | 95.313 | 95.313 | 98.438 |
3 | 1-2,4-10 | 81.250 | 92.188 | 98.438 | 96.875 |
4 | 1-3,5-10 | 81.250 | 92.188 | 95.313 | 100.000 |
5 | 1-4,6-10 | 82.812 | 90.625 | 96.875 | 92.188 |
6 | 1-5,7-10 | 82.812 | 95.313 | 95.313 | 98.438 |
7 | 1-6,8-10 | 75.000 | 93.750 | 92.188 | 89.438 |
8 | 1-7,9-10 | 92.188 | 95.313 | 90.625 | 89.063 |
9 | 1-8,10 | 89.062 | 87.500 | 90.625 | 98.438 |
10 | 1-9 | 75.000 | 90.625 | 95.313 | 98.438 |