| model | batch | Epoch | Learning rate | Accuracy | precision | Recall | specificity | F1-score | Time |
| ALEXNET | 16 | 10 | 0.1 | 94.59% | 91.50% | 92.53% | 96.10% | 92.01% | 286 |
| 32 | 94.24% | 91.43% | 92.12% | 95.75% | 91.77% | 263 | |||
| 64 | 94.25% | 91.41% | 91.91% | 95.71% | 91.66% | 250 | |||
| DENSENET | 16 | 97.67% | 96.14% | 96.72% | 98.33% | 96.43% | 515 | ||
| 32 | 97.33% | 95.86% | 96.28% | 98.04% | 96.07% | 461 | |||
| 64 | 97.84% | 96.60% | 96.66% | 98.37% | 96.63% | 428 | |||
| EFFICIENTNET | 16 | 95.29% | 93.07% | 92.96% | 96.34% | 93.01% | 497 | ||
| 32 | 95.97% | 93.76% | 93.79% | 96.94% | 93.77% | 478 | |||
| 64 | 95.84% | 93.52% | 93.65% | 96.85% | 93.58% | 457 | |||
| GOOGLENET | 16 | 95.13% | 92.43% | 92.49% | 96.43% | 92.46% | 382 | ||
| 32 | 95.80% | 93.38% | 93.55% | 96.89% | 93.46% | 335 | |||
| 64 | 95.47% | 93.03% | 93.08% | 96.69% | 93.05% | 301 | |||
| SQUEEZENET | 16 | 97.33% | 95.48% | 96.31% | 98.15% | 95.89% | 330 | ||
| 32 | 95.97% | 94.07% | 94.27% | 96.99% | 94.17% | 313 | |||
| 64 | 81.23% | 50.59% | 65.31% | 83.26% | 57.02% | 266 | |||
| VGG19 | 16 | 93.73% | 91.07% | 90.42% | 95.31% | 90.74% | 768 | ||
| 32 | 94.77% | 91.74% | 92.28% | 96.13% | 92.01% | 625 | |||
| 64 | 93.39% | 90.71% | 89.61% | 95.03% | 90.16% | 611 | |||
| ALEXNET | 16 | 0.01 | 93.73% | 91.93% | 90.03% | 95.14% | 90.97% | 287 | |
| 32 | 95.11% | 92.51% | 92.67% | 96.29% | 92.59% | 265 | |||
| 64 | 95.11% | 93.15% | 92.64% | 96.24% | 92.89% | 256 | |||
| DENSENET | 16 | 97.33% | 95.72% | 96.40% | 98.07% | 96.06% | 512 | ||
| 32 | 97.16% | 95.40% | 96.05% | 97.96% | 95.72% | 457 | |||
| 64 | 97.33% | 95.82% | 96.13% | 98.05% | 95.97% | 424 | |||
| EFFICIENTNET | 16 | 95.80% | 93.62% | 93.64% | 96.79% | 93.63% | 501 | ||
| 32 | 95.46% | 93.64% | 92.87% | 96.41% | 93.25% | 478 | |||
| 64 | 96.32% | 94.41% | 94.74% | 97.19% | 94.57% | 457 | |||
| GOOGLENET | 16 | 95.12% | 92.49% | 92.49% | 96.36% | 92.49% | 384 | ||
| 32 | 94.60% | 91.53% | 91.96% | 95.97% | 91.74% | 374 | |||
| 64 | 95.12% | 92.80% | 92.49% | 96.29% | 92.64% | 339 | |||
| SQUEEZENET | 16 | 96.82% | 95.05% | 95.64% | 97.68% | 95.34% | 336 | ||
| 32 | 96.82% | 95.11% | 95.51% | 97.67% | 95.31% | 309 | |||
| 64 | 96.31% | 94.24% | 94.96% | 97.32% | 94.60% | 263 | |||
| VGG19 | 16 | 86.48% | 78.35% | 90.89% | 85.15% | 84.16% | 1314 | ||
| 32 | 93.40% | 90.52% | 89.40% | 94.99% | 89.96% | 628 | |||
| 64 | 93.58% | 90.51% | 89.67% | 95.11% | 90.09% | 619 | |||
| ALEXNET | 16 |
| 0.001 | 94.08% | 90.80% | 91.94% | 95.79% | 91.37% | 286 |
| 32 | 95.80% | 93.38% | 93.76% | 96.86% | 93.57% | 264 | |||
| 64 | 94.60% | 91.46% | 92.38% | 96.11% | 91.92% | 261 | |||
| DENSENET | 16 | 95.98% | 93.87% | 93.73% | 96.95% | 93.80% | 505 | ||
| 32 | 95.63% | 93.32% | 93.50% | 96.76% | 93.41% | 455 | |||
| 64 | 89.47% | 88.58% | 81.19% | 91.84% | 84.72% | 427 | |||
| EFFICIENTNET | 16 | 95.11% | 92.79% | 92.28% | 96.20% | 92.53% | 504 | ||
| 32 | 94.07% | 91.39% | 91.04% | 95.38% | 91.21% | 480 | |||
| 64 | 90.88% | 86.68% | 86.09% | 92.84% | 86.38% | 460 | |||
| GOOGLENET | 16 | 94.25% | 91.15% | 91.55% | 95.67% | 91.35% | 421 | ||
| 32 | 92.13% | 89.72% | 86.99% | 93.72% | 88.33% | 377 | |||
| 64 | 88.88% | 86.24% | 81.68% | 90.98% | 83.90% | 340 | |||
| SQUEEZENET | 16 | 96.66% | 94.79% | 95.37% | 97.54% | 95.08% | 330 | ||
| 32 | 95.46% | 92.96% | 93.47% | 96.66% | 93.21% | 310 | |||
| 64 | 94.25% | 91.25% | 91.91% | 95.79% | 91.58% | 263 | |||
| VGG19 | 16 | 93.23% | 90.89% | 89.01% | 94.83% | 89.94% | 662 | ||
| 32 | 92.34% | 88.38% | 88.59% | 94.33% | 88.48% | 435 | |||
| 64 | 92.62% | 89.69% | 88.47% | 94.37% | 89.08% | 262 | |||
| ALEXNET | 16 | 25 | 0.1 | 95.80% | 93.33% | 94.31% | 96.94% | 93.82% | 697 |
| 32 | 95.80% | 93.66% | 93.98% | 96.85% | 93.82% | 637 | |||
| 64 | 94.59% | 92.11% | 92.36% | 95.95% | 92.23% | 616 | |||
| DENSENET | 16 | 97.50% | 96.09% | 95.94% | 98.12% | 96.01% | 3593 | ||
| 32 | 98.00% | 96.75% | 97.17% | 98.54% | 96.96% | 2043 | |||
| 64 | 98.34% | 97.18% | 97.49% | 98.81% | 97.33% | 2300 | |||
| EFFICIENTNET | 16 | 96.66% | 95.05% | 94.91% | 97.42% | 94.98% | 1226 | ||
| 32 | 96.83% | 95.21% | 95.36% | 97.57% | 95.28% | 1178 | |||
| 64 | 96.48% | 94.62% | 94.92% | 97.34% | 94.77% | 1129 | |||
| GOOGLENET | 16 | 95.80% | 93.23% | 93.94% | 96.96% | 93.58% | 938 | ||
| 32 | 95.30% | 92.43% | 92.63% | 96.53% | 92.53% | 802 | |||
| 64 | 95.13% | 92.16% | 92.85% | 96.51% | 92.50% | 731 | |||
| SQUEEZENET | 16 | 81.36% | 50.88% | 65.34% | 83.53% | 57.21% | 876 | ||
| 32 | 97.50% | 95.84% | 96.49% | 98.22% | 96.16% | 824 | |||
| 64 | 73.21% | 42.41% | 65.43% | 76.39% | 51.46% | 701 | |||
| VGG19 | 16 | 98.34% | 97.18% | 97.49% | 98.81% | 97.33% | 3943 | ||
| 32 | 94.44% | 91.77% | 90.85% | 95.79% | 91.31% | 1183 | |||
| 64 | 95.30% | 92.65% | 92.60% | 96.47% | 92.62% | 729 | |||
| ALEXNET | 16 |
| 0.01 | 94.77% | 92.06% | 91.59% | 95.95% | 91.82% | 713 |
| 32 | 96.14% | 94.18% | 94.33% | 97.10% | 94.25% | 652 | |||
| 64 | 95.97% | 93.92% | 93.94% | 96.96% | 93.93% | 628 | |||
| DENSENET | 16 | 95.63% | 93.39% | 93.29% | 96.67% | 93.34% | 3593 | ||
| 32 | 98.34% | 97.22% | 97.55% | 98.80% | 97.38% | 2043 | |||
| 64 | 97.84% | 96.55% | 96.66% | 98.42% | 96.60% | 2300 | |||
| EFFICIENTNET | 16 | 96.48% | 94.72% | 94.53% | 97.29% | 94.62% | 1243 | ||
| 32 | 95.80% | 93.60% | 93.67% | 96.79% | 93.63% | 1193 | |||
| 64 | 95.99% | 94.18% | 93.97% | 96.88% | 94.07% | 1142 | |||
| GOOGLENET | 16 | 95.46% | 92.72% | 93.32% | 96.71% | 93.02% | 948 | ||
| 32 | 94.95% | 92.27% | 92.34% | 96.22% | 92.30% | 807 | |||
| 64 | 94.42% | 91.50% | 91.57% | 95.79% | 91.53% | 734 | |||
| SQUEEZENET | 16 | 97.33% | 95.86% | 96.37% | 98.04% | 96.11% | 862 | ||
| 32 | 97.50% | 96.28% | 96.52% | 98.14% | 96.40% | 843 | |||
| 64 | 97.17% | 95.73% | 96.05% | 97.91% | 95.89% | 817 | |||
| VGG19 | 16 | 94.09% | 91.09% | 90.77% | 95.55% | 90.93% | 764 | ||
| 32 | 93.58% | 91.04% | 89.91% | 95.17% | 90.47% | 619 | |||
| 64 | 94.36% | 91.36% | 91.08% | 95.76% | 91.22% | 628 | |||
| ALEXNET | 16 | 0.001 | 95.11% | 92.31% | 93.15% | 96.45% | 92.73% | 708 | |
| 32 | 95.46% | 93.11% | 93.41% | 96.59% | 93.26% | 661 | |||
| 64 | 94.08% | 90.80% | 91.94% | 95.79% | 91.37% | 633 | |||
| DENSENET | 16 | 97.16% | 95.32% | 96.23% | 97.98% | 95.77% | 1894 | ||
| 32 | 96.66% | 94.64% | 95.32% | 97.58% | 94.98% | 1850 | |||
| 64 | 96.32% | 94.56% | 94.35% | 97.22% | 94.45% | 2310 | |||
| EFFICIENTNET | 16 | 95.81% | 93.43% | 94.07% | 96.87% | 93.75% | 1244 | ||
| 32 | 95.46% | 93.30% | 93.11% | 96.47% | 93.20% | 1196 | |||
| 64 | 93.89% | 91.55% | 90.35% | 95.18% | 90.95% | 1147 | |||
| GOOGLENET | 16 | 97.67% | 96.04% | 96.72% | 98.36% | 96.38% | 976 | ||
| 32 | 94.42% | 92.37% | 91.33% | 95.67% | 91.85% | 848 | |||
| 64 | 91.24% | 88.97% | 85.69% | 92.97% | 87.30% | 768 | |||
| SQUEEZENET | 16 | 96.15% | 94.04% | 94.48% | 97.19% | 94.26% | 5524 | ||
| 32 | 96.66% | 94.87% | 95.28% | 97.53% | 95.07% | 5564 | |||
| 64 | 95.46% | 93.13% | 93.90% | 96.68% | 93.51% | 3144 | |||
| VGG19 | 16 | 93.57% | 90.70% | 89.82% | 95.10% | 90.26% | 703 | ||
| 32 | 93.05% | 90.00% | 89.08% | 94.74% | 89.54% | 675 | |||
| 64 | 92.52% | 89.20% | 88.67% | 94.36% | 88.93% | 677 |