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Support Vector Machines and Kernels for Computational Biology

Figure 7

The effect of the width parameter of the Gaussian kernel (σ) for a fixed value of the soft-margin constant.

For large values of σ (A), the decision boundary is nearly linear. As σ decreases, the flexibility of the decision boundary increases (B). Small values of σ lead to overfitting (C). The figure style follows that of Figure 3.

Figure 7

doi: https://doi.org/10.1371/journal.pcbi.1000173.g007