code: def test_score_function():
      mlp = MLP(
          epochs=20,
          eta=0.05,
          hidden_layers=[25],
          minibatches=5,
          random_seed=1,
      )
      mlp.fit(X, y)
      acc = mlp.score(X, y)
      assert acc == 1.0, acc
  
file_path: mlxtend/mlxtend/classifier/tests/test_multilayerperceptron.py
imports: import numpy
  from sklearn.base import clone
  from mlxtend.classifier import MultiLayerPerceptron
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 10 for calling a global function with example usage: test_score_function() without return types