[Retracted] Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X-Ray Images

Figure 14

Comparison of different LIBSVM kernels with different hyperparameter values. (a) Polynomial kernel, highest accuracy = 85.41% (d = 3, c = 28, and  = 0.81032). (b) Linear kernel, accuracy = 89.58% (c = 256). (c) RBF kernel, accuracy = 95% (c = 16;  = 0.08245). (d) Sigmoid kernel, accuracy = 83.33% (c = 512;  = 0.31626)).

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