seniorSVM
What is the role of hyperparameter tuning in SVM performance?
Updated May 17, 2026
Short answer
Hyperparameter tuning balances bias-variance tradeoff in SVM.
Deep explanation
Parameters like C, gamma, and kernel choice determine model complexity and generalization. Grid search or Bayesian optimization is used to find optimal configuration.
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