code: def test_min_number_of_models():
      y_true = np.array([1, 1, 0])
      y_1 = np.array([0, 1, 0])
  
      assert_raises(
          ValueError,
          ("Provide at least 2 model prediction arrays."),
          ftest,
          y_true,
          y_1,
      )
  
imports: import numpy
  from mlxtend.evaluate import ftest
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 4 for calling a global function with example usage: test_min_number_of_models() without return types