code: def cric__random_forest():
      
      model = sklearn.ensemble.RandomForestClassifier(100, random_state=0)
  
      # we want to explain the raw probability outputs of the trees
      model.predict = lambda X: model.predict_proba(X)[:,1]
      
      return model
docs: Random Forest