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. 2025 Aug 23;15:31066. doi: 10.1038/s41598-025-16564-7

Table 6.

Comparison of three- and four-classification tasks with some of the state-of-the-art models in each evaluation metric.

Number of classes Model Acc (%) Pre (%) Re (%) F1 (%)
Three GhostNet37 (2020) 97.88 97.49 97.81 97.65
Kakarla et al.45 (2021) 97.42 97.41 97.42 -
Nawaz et al.46 (2021) 98.80 97.40 96.90 -
Shaik et al.28 (2022) 96.51 96.14 95.99 96.03
Hossein et al.47 (2023) 99.02 98.79 98.70 98.74
Cinar et al.48 (2023) 96.67 96.97 96.97 96.66
Zulfiqar et al.49 (2023) 98.86 98.65 98.77 98.71
Nassar et al.50 (2024) 99.31 99.34 98.30 98.90
Wang et al.8 (2024) 98.86 98.87 98.46 -
Li et al.51 (2025) 98.04 97.80 98.20 98.00
Preetha et al.52 (2025) 98.72 98.70 98.68 98.69
Proposed 99.51 99.47 99.53 99.50
Four GhostNet37 (2020) 96.63 96.38 96.68 96.52
Yunenda et al.53 (2022) 93.00 92.75 92.75 92.75
Saeedi et al.23 (2023) 93.45 94.75 95.75 95.00
Preetha et al.52 (2025) 97.80 97.79 97.80 97.79
Proposed 98.01 98.13 98.02 98.07