code: def independentlinear60__decision_tree():
      """Decision Tree"""
  
      # max_depth was chosen to minimise test error
      return sklearn.tree.DecisionTreeRegressor(
          random_state=0, max_depth=4
      )
  
imports: import numpy
  import sklearn
  import sklearn.ensemble
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 9 for calling a global function with example usage: independentlinear60__decision_tree() and returns: sklearn