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. 2022 Jan 4;2022:8302674. doi: 10.1155/2022/8302674

Table 7.

MSVM testing for age with different kernels.

Kernel with hyperparameters Number of samples correctly classified Number of samples misclassified Accuracy (%)
Linear (C = 200) 39 09 81.25
Polynomial (d = 4, C = 64, and g = 0.05273) 36 12 75.0
RBF (C = 45 and g = 0.04317) 47 48 97.916
Sigmoid (C = 256 and g = 0.63419) 42 06 87.50