Question: When you have to classify your data to two groups and real Bayes decision boundary is close to linear then A) TheSupport Vector Classifieris preferable

When you have to classify your data to two groups and real Bayes decision boundary is close to linear then

A) TheSupport Vector Classifieris preferable method

B) TheSupport VectorMachine with linear kernel is preferable method

C) Bot methods will work not good enough and you will better use decision tree method

D) The both,Support Vector Classifier andSupport VectorMachine with linear kernel, are equivalent and will provide similar results

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