seniorSVM
What is the role of kernel parameters tuning in SVM performance?
Updated May 17, 2026
Short answer
Kernel parameters control model flexibility and decision boundary complexity.
Deep explanation
Parameters like gamma (RBF), degree (polynomial), and coef0 significantly impact decision boundary shape. Proper tuning balances bias-variance tradeoff and prevents overfitting or underfitting.
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