code: def test_simple_classifier_titanic():
      titanic = load_titanic()
      ec = SimpleClassifier()
      ec.fit(titanic, target_col="survived")
      ec.predict(titanic.drop("survived", axis=1))
  
imports: import pytest
  import pandas
  import numpy
  from sklearn.datasets import load_iris, make_blobs, load_digits, fetch_openml
  from sklearn.svm import LinearSVC
  from sklearn.linear_model import LogisticRegression
  from sklearn.dummy import DummyClassifier
  from dabl.datasets import load_titanic
  from dabl.models import SimpleClassifier, SimpleRegressor, AnyClassifier
label_desc: Use image node_id 4 for calling a global function with example usage: test_simple_classifier_titanic() without return types