Table 3.
Models/Folds(F) | Performance Evaluation based on four metrics | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
TP | TN | FP | FN | Test set (%) Acc | Rec | Spec | Prec | F1 | ||
AlexNet | F-1 | 42 | 92 | 9 | 3 | 91.78 | 93.33 | 91.09 | 82.35 | 87.5 |
F-2 | 44 | 98 | 3 | 1 | 97.26 | 97.78 | 97.03 | 93.62 | 95.65 | |
F-3 | 45 | 98 | 3 | 0 | 97.95 | 100 | 97.03 | 93.75 | 96.77 | |
F-4 | 45 | 98 | 3 | 0 | 97.95 | 100 | 97.03 | 93.75 | 96.77 | |
F-5 | 45 | 98 | 3 | 0 | 97.95 | 100 | 97.03 | 93.75 | 96.77 | |
Average | 96.58 | 98.22 | 95.84 | 91.44 | 94.69 | |||||
GoogleNet | F-1 | 42 | 93 | 8 | 3 | 92.47 | 93.33 | 92.08 | 84 | 88.42 |
F-2 | 45 | 97 | 4 | 0 | 97.26 | 100 | 96.04 | 91.84 | 95.74 | |
F-3 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-4 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-5 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
Average | 97.12 | 98.67 | 96.44 | 92.61 | 95.53 | |||||
DenseNet121 | F-1 | 43 | 91 | 10 | 2 | 91.78 | 95.56 | 90.1 | 81.13 | 87.76 |
F-2 | 44 | 97 | 4 | 1 | 96.58 | 97.78 | 96.04 | 91.67 | 94.62 | |
F-3 | 44 | 100 | 1 | 1 | 98.63 | 97.78 | 99.01 | 97.78 | 97.78 | |
F-4 | 44 | 100 | 1 | 1 | 98.63 | 97.78 | 99.01 | 97.78 | 97.78 | |
F-5 | 44 | 100 | 1 | 1 | 98.63 | 97.78 | 99.01 | 97.78 | 97.78 | |
Average | 96.85 | 97.33 | 96.63 | 93.23 | 95.14 | |||||
ResNet-50 | F-1 | 43 | 93 | 8 | 2 | 93.15 | 95.56 | 92.08 | 84.31 | 89.58 |
F-2 | 45 | 98 | 3 | 0 | 97.95 | 100 | 97.03 | 93.75 | 96.77 | |
F-3 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-4 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-5 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
Average | 97.4 | 99.11 | 96.63 | 93.06 | 95.97 | |||||
Se-ResNet 50 | F-1 | 43 | 94 | 7 | 2 | 93.84 | 95.56 | 93.07 | 86 | 90.53 |
F-2 | 44 | 99 | 2 | 1 | 97.95 | 97.78 | 98.02 | 95.65 | 96.7 | |
F-3 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-4 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-5 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
Average | 97.53 | 98.67 | 97.03 | 93.78 | 96.14 | |||||
Inception ResNet v2 | F-1 | 41 | 87 | 14 | 4 | 87.67 | 91.11 | 86.14 | 74.55 | 82 |
F-2 | 43 | 90 | 11 | 2 | 91.1 | 95.56 | 89.11 | 79.63 | 86.87 | |
F-3 | 43 | 90 | 11 | 2 | 91.1 | 95.56 | 89.11 | 79.63 | 86.87 | |
F-4 | 41 | 88 | 13 | 4 | 88.36 | 91.11 | 87.13 | 75.93 | 82.83 | |
F-5 | 41 | 89 | 12 | 4 | 89.04 | 91.11 | 88.12 | 77.36 | 83.67 | |
Average | 89.45 | 92.89 | 87.92 | 77.42 | 84.45 | |||||
ResNeXt-50 | F-1 | 43 | 95 | 6 | 2 | 94.52 | 95.56 | 94.06 | 87.76 | 91.49 |
F-2 | 45 | 98 | 3 | 0 | 97.95 | 100 | 97.03 | 93.75 | 96.77 | |
F-3 | 45 | 100 | 1 | 0 | 99.32 | 100 | 99.01 | 97.83 | 98.9 | |
F-4 | 45 | 100 | 1 | 0 | 99.32 | 100 | 99.01 | 97.83 | 98.9 | |
F-5 | 45 | 100 | 1 | 0 | 99.32 | 100 | 99.01 | 97.83 | 98.9 | |
Average | 98.08 | 99.11 | 97.62 | 95 | 96.99 | |||||
Se-ResNeXt-50 | F-1 | 43 | 96 | 5 | 2 | 95.21 | 95.56 | 95.05 | 89.58 | 92.47 |
F-2 | 45 | 99 | 2 | 0 | 98.63 | 100 | 98.02 | 95.74 | 97.83 | |
F-3 | 45 | 100 | 1 | 0 | 99.32 | 100 | 99.01 | 97.83 | 98.9 | |
F-4 | 45 | 100 | 1 | 0 | 99.32 | 100 | 99.01 | 97.83 | 98.9 | |
F-5 | 45 | 100 | 1 | 0 | 99.32 | 100 | 99.01 | 97.83 | 98.9 | |
Average | 98.36 | 99.11 | 98.02 | 95.76 | 97.4 |
Bold indicates highest accuracy