What is SVM in Scikit-Learn?

Updated May 17, 2026

Short answer

SVM finds optimal hyperplane separating classes.

Deep explanation

It maximizes margin between classes and supports kernel trick for nonlinear separation.

Real-world example

Used in text classification tasks.

Common mistakes

  • Not scaling data before training SVM.

Follow-up questions

  • What is kernel trick?
  • Linear vs nonlinear SVM?

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