Table 4.
Models/Folds(F) | Performance Evaluation based on four metrics | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
TP | TN | FP | FN |
Test set (%) Acc |
Rec | Spe | Pre | F1 | ||
AlexNet | F-1 | 36 | 207 | 34 | 9 | 84.97 | 80 | 85.89 | 51.43 | 62.61 |
F-2 | 36 | 208 | 33 | 9 | 85.31 | 80 | 86.31 | 52.17 | 63.16 | |
F-3 | 38 | 215 | 26 | 7 | 88.46 | 84.44 | 89.21 | 59.38 | 69.72 | |
F-4 | 38 | 215 | 26 | 7 | 88.46 | 84.44 | 89.21 | 59.38 | 69.72 | |
F-5 | 38 | 215 | 26 | 7 | 88.46 | 84.44 | 89.21 | 59.38 | 69.72 | |
Average | 87.13 | 82.67 | 87.97 | 56.35 | 66.99 | |||||
GoogleNet | F-1 | 39 | 220 | 21 | 6 | 90.56 | 86.67 | 91.29 | 65 | 74.29 |
F-2 | 39 | 222 | 19 | 6 | 91.26 | 86.67 | 92.12 | 67.24 | 75.73 | |
F-3 | 40 | 224 | 17 | 5 | 92.31 | 88.89 | 92.95 | 70.18 | 78.43 | |
F-4 | 40 | 224 | 17 | 5 | 92.31 | 88.89 | 92.95 | 70.18 | 78.43 | |
F-5 | 40 | 224 | 17 | 5 | 92.31 | 88.89 | 92.95 | 70.18 | 78.43 | |
Average | 91.75 | 88 | 92.45 | 68.55 | 77.06 | |||||
DenseNet121 | F-1 | 39 | 226 | 15 | 6 | 92.66 | 86.67 | 93.78 | 72.22 | 78.79 |
F-2 | 39 | 228 | 13 | 6 | 93.36 | 86.67 | 94.61 | 75 | 80.41 | |
F-3 | 40 | 230 | 11 | 5 | 94.41 | 88.89 | 95.44 | 78.43 | 83.33 | |
F-4 | 40 | 230 | 11 | 5 | 94.41 | 88.89 | 95.44 | 78.43 | 83.33 | |
F-5 | 40 | 230 | 11 | 5 | 94.41 | 88.89 | 95.44 | 78.43 | 83.33 | |
Average | 93.85 | 88 | 94.94 | 76.5 | 81.84 | |||||
ResNet-50 | F-1 | 40 | 228 | 13 | 5 | 93.71 | 88.89 | 94.61 | 75.47 | 81.63 |
F-2 | 40 | 229 | 12 | 5 | 94.06 | 88.89 | 95.02 | 76.92 | 82.47 | |
F-3 | 41 | 233 | 8 | 4 | 95.8 | 91.11 | 96.68 | 83.67 | 87.23 | |
F-4 | 41 | 233 | 8 | 4 | 95.8 | 91.11 | 96.68 | 83.67 | 87.23 | |
F-5 | 41 | 233 | 8 | 4 | 95.8 | 91.11 | 96.68 | 83.67 | 87.23 | |
Average | 95.03 | 90.22 | 95.93 | 80.68 | 85.16 | |||||
Se-ResNet-50 | F-1 | 40 | 228 | 13 | 5 | 93.71 | 88.89 | 94.61 | 75.47 | 81.63 |
F-2 | 40 | 229 | 12 | 5 | 94.06 | 88.89 | 95.02 | 76.92 | 82.47 | |
F-3 | 41 | 234 | 7 | 4 | 96.15 | 91.11 | 97.1 | 85.42 | 88.17 | |
F-4 | 41 | 234 | 7 | 4 | 96.15 | 91.11 | 97.1 | 85.42 | 88.17 | |
F-5 | 41 | 234 | 7 | 4 | 96.15 | 91.11 | 97.1 | 85.42 | 88.17 | |
Average | 95.24 | 90.22 | 96.18 | 81.73 | 85.72 | |||||
Inception v4 | F-1 | 39 | 221 | 20 | 6 | 90.91 | 86.67 | 91.7 | 66.1 | 75 |
F-2 | 39 | 225 | 16 | 6 | 92.31 | 86.67 | 93.36 | 70.91 | 78 | |
F-3 | 39 | 226 | 15 | 6 | 92.66 | 86.67 | 93.78 | 72.22 | 78.79 | |
F-4 | 39 | 223 | 18 | 6 | 91.61 | 86.67 | 92.53 | 68.42 | 76.47 | |
F-5 | 39 | 221 | 20 | 6 | 90.91 | 86.67 | 91.7 | 66.1 | 75 | |
Average | 91.68 | 86.67 | 92.61 | 68.75 | 76.65 | |||||
Inception ResNet v2 | F-1 | 39 | 222 | 19 | 6 | 91.26 | 86.67 | 92.12 | 67.24 | 75.73 |
F-2 | 39 | 227 | 14 | 6 | 93.01 | 86.67 | 94.19 | 73.58 | 79.59 | |
F-3 | 40 | 228 | 13 | 5 | 93.71 | 88.89 | 94.61 | 75.47 | 81.63 | |
F-4 | 40 | 227 | 14 | 5 | 93.36 | 88.89 | 94.19 | 74.07 | 80.81 | |
F-5 | 39 | 222 | 19 | 6 | 91.26 | 86.67 | 92.12 | 67.24 | 75.73 | |
Average | 92.52 | 87.56 | 93.44 | 71.52 | 78.7 | |||||
ResNeXt-50 | F-1 | 41 | 232 | 9 | 4 | 95.45 | 91.11 | 96.27 | 82 | 86.32 |
F-2 | 41 | 234 | 7 | 4 | 96.15 | 91.11 | 97.1 | 85.42 | 88.17 | |
F-3 | 43 | 236 | 5 | 2 | 97.55 | 95.56 | 97.93 | 89.58 | 92.47 | |
F-4 | 43 | 236 | 5 | 2 | 97.55 | 95.56 | 97.93 | 89.58 | 92.47 | |
F-5 | 43 | 236 | 5 | 2 | 97.55 | 95.56 | 97.93 | 89.58 | 92.47 | |
Average | 96.85 | 93.78 | 97.43 | 87.23 | 90.38 | |||||
Se-ResNeXt-50 | F-1 | 42 | 232 | 9 | 3 | 95.80 | 93.33 | 96.27 | 82.35 | 87.5 |
F-2 | 42 | 234 | 7 | 3 | 96.50 | 93.33 | 97.1 | 85.71 | 89.36 | |
F-3 | 43 | 236 | 5 | 2 | 97.55 | 95.56 | 97.93 | 89.58 | 92.47 | |
F-4 | 43 | 236 | 5 | 2 | 97.55 | 95.56 | 97.93 | 89.58 | 92.47 | |
F-5 | 43 | 236 | 5 | 2 | 97.55 | 95.56 | 97.93 | 89.58 | 92.47 | |
Average | 96.99 | 94.67 | 97.43 | 87.36 | 90.86 |
Bold indicates highest accuracy