code: def bench_scikit_tree_classifier(X, Y):
      """Benchmark with scikit-learn decision tree classifier"""
  
      from sklearn.tree import DecisionTreeClassifier
  
      gc.collect()
  
      # start time
      tstart = datetime.now()
      clf = DecisionTreeClassifier()
      clf.fit(X, Y).predict(X)
      delta = datetime.now() - tstart
      # stop time
  
      scikit_classifier_results.append(
          delta.seconds + delta.microseconds / mu_second
      )
  
imports: import gc
  from datetime import datetime
  import matplotlib.pyplot
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: bench_scikit_tree_classifier(X, Y) without return types