code: def corrgroups60__random_forest():
      """Random Forest"""
      return sklearn.ensemble.RandomForestRegressor(100, random_state=0)
  
imports: import numpy
  import sklearn
  import sklearn.ensemble
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 4 for calling a global function with example usage: corrgroups60__random_forest() and returns: sklearn