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. 2021 May 18;241:167199. doi: 10.1016/j.ijleo.2021.167199

Table 4.

Comprising accuracy of the proposed classification method with other classifiers.

Classifier Accuracy ± Standard division (%)
CT X-ray
SVM 92.83 ± 1.58 99.12 ± 0.15
KNN 92.28 ± 0.75 99.38 ± 0.15
Random forest 93.01 ± 1.41 99.25 ± 0.26
The proposed method 93.20 ± 1.40 99.38 ± 0.77