code: def test_titaninc_accuracy_over_77(tmp_path):
      TRAIN_DATA_URL = (
          "https://storage.googleapis.com/tf-datasets/titanic/train.csv"
      )
      TEST_DATA_URL = (
          "https://storage.googleapis.com/tf-datasets/titanic/eval.csv"
      )
  
      train_file_path = tf.keras.utils.get_file(
          "train.csv", TRAIN_DATA_URL
      )
      test_file_path = tf.keras.utils.get_file(
          "eval.csv", TEST_DATA_URL
      )
      clf = ak.StructuredDataClassifier(
          max_trials=10, directory=tmp_path
      )
  
      clf.fit(train_file_path, "survived")
  
      accuracy = clf.evaluate(test_file_path, "survived")[1]
      assert accuracy >= 0.77
  
file_path: autokeras/benchmark/performance.py
imports: import os
  import numpy
  import tensorflow
  from sklearn.datasets import load_files
  from tensorflow.keras.datasets import cifar10
  from tensorflow.keras.datasets import mnist
  import autokeras
label_desc: Use image node_id 5 for calling a global function with example usage: test_titaninc_accuracy_over_77(tmp_path) without return types