code: def _createBinaryClassificationMetrics(self):
      return [
          tf.keras.metrics.AUC(name="auc"),
          tf.keras.metrics.AUC(name="auc_pr", curve="PR"),
          tf.keras.metrics.Precision(name="precision"),
          tf.keras.metrics.Recall(name="recall"),
          tf.keras.metrics.TruePositives(name="true_positives"),
          tf.keras.metrics.FalsePositives(name="false_positives"),
          tf.keras.metrics.TrueNegatives(name="true_negatives"),
          tf.keras.metrics.FalseNegatives(name="false_negatives"),
          tf.keras.metrics.SpecificityAtSensitivity(
              0.5, name="specificity_at_sensitivity"
          ),
          tf.keras.metrics.SensitivityAtSpecificity(
              0.5, name="sensitivity_at_specificity"
          ),
      ]
  
imports: import tempfile
  import unittest
  from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.evaluators import keras_util
  from tensorflow_model_analysis.metrics import metric_types
label_desc: Use image node_id 1 for calling the KerasSavedModelUtilTest obj's underlying member method code with example usage: obj._createBinaryClassificationMetrics() and returns: list