Solved – the best out-of-the-box 2-class classifier for your application?


  • one classifier per answer
  • vote up if you agree
  • downvote/remove duplicates.
  • put your application in the comment

Random forest

  • easily captures complicated structure/nonlinear relationship
  • invariant to variables' scale
  • no need to create dummy variables for categorical predictors
  • variable selection is not much needed
  • relatively hard to overfit

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