code: def test_score(self, net_fit, data):
      X, y = data
      accuracy = net_fit.score(X, y)
      assert 0.0 <= accuracy <= 1.0
  
imports: from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from scipy.special import expit
  from sklearn.base import clone
  from torch import nn
  from skorch.tests.conftest import INFERENCE_METHODS
label_desc: Use image node_id 13 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_score(net_fit, data) without return types