Research Article

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

Figure 15

Comparison of different MSVM kernels with different hyperparameter values. (a) Polynomial kernel, highest accuracy = 75.41% (d = 4, c = 64, and  = 0.09164). (b) Linear kernel, accuracy = 81.25% (c = 200). (c) RBF kernel, accuracy = 97.91(c = 45 and  = 0.043216). (d) Sigmoid kernel, accuracy = 87.50 (c = 24 and  = 0.32077).
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