title: Random Forest Classifier Segmentation Fault
body: <p>been trying to run the RF classifier on a data set of ~50,000 entries with 20 or so labels which I thought should be fine but I keep coming across the following when trying to fit...</p>
  
  <pre><code>Exception MemoryError: MemoryError() in 'sklearn.tree._tree.Tree._resize' ignored
  Segmentation fault (core dumped)
  </code></pre>
  
  <p>The data set has been passed through the TfidfVectorizer and then TruncatedSVD with n=100 for dimensionality reduction. RandomForestClassifier is running with n_jobs=1 and n_estimators=10 in an attempt to get find the minimum point at which it will work. The system is running with 4GB of RAM and RF has worked in the past on a similar data set with much higher numbers of estimators etc. Scikit-learn is running at the current version 0.14.1. </p>
  
  <p>Any tips?</p>
  
  <p>Thanks</p>