Will the same set of variables perform best for all classifying methods?

User: "theWay"
New Altair Community Member
Updated by Jocelyn
Suppose that out of a large set, S, of attributes that describe the target variable M, there exists a subset Z of S that optimize the performance for say a decision tree model, does that mean that Z will optimize performance for all other techniques, such as K-NN , or Bayes, or SVM?

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