title: Why are feature selection results different for Random forest classifier when applied in two different ways
body: <p>I want to do feature selection and I used Random forest classifier but did differently.</p>
  <p>I used <code>sklearn.feature_selection.SelectfromModel(estimator=randomforestclassifer...)</code> and used random forest classifier standalone. It was surprising to find that although I used the same classifier, the results were different. Except for some two features, all others were different. Can someone explain why is it so? Maybe is it because the parameters change in these two cases?</p>