code: def _test_classifier_model(
      self, train, test, accuracy_threshold, target="label"
  ):
      # create
      model = tc.boosted_trees_classifier.create(
          train, target=target, validation_set=test, **self.param
      )
      # predict
      pred = model.predict(test, output_type="class")
      accuracy = model.evaluate(test, metric="accuracy")
      self.assertGreater(accuracy["accuracy"], accuracy_threshold)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  import uuid
  import random
  import copy
  from turicreate.toolkits._main import ToolkitError
  import turicreate.toolkits.evaluation
  import shutil
  from array import array
  import os
label_desc: Use image node_id 14 for calling the BoostedTreesClassifierTest obj's underlying member method code with example usage: obj._test_classifier_model(train, test, accuracy_threshold, target) without return types