title: Python RandomForestClassifier - How to improve recall?
body: <p>I have an imbalanced data set and I am already using SMOTE to over sample it. I am getting a low recall value for 1 and I am trying a way to increase it and spread the error. I am fine with reduced overall accuracy.
  The below <a href="http://www.engineersbloc.com//collection/258/" rel="nofollow noreferrer">implementation</a> by airbnb did the trick and the library is not open source it seems. </p>
  
  <p>Is there anyway we can controll the fitting to improve the recall value.</p>