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. 2021 Jul 3:1–21. Online ahead of print. doi: 10.1007/s10479-021-04154-5

Table 2.

Comparison of proposed model with fine-tuned deep learning models

Algorithms Accuracy Precision Recall F1 score
Finetune + ResNet 0.8579 0.8598 0.8530 0.8512
Finetune + MobileNet 0.8934 0.8828 0.8802 0.8795
Finetune + InceptionV3 0.9053 0.9094 0.9123 0.9072
Finetune + DesneNet 0.8735 0.8654 0.8602 0.8596
Proposed model 0.9328 0.9371 0.9090 0.9169