code: def test_fit_linear_binary_l2r_modified_huber(bin_dense_train_data):
      bin_dense, bin_target = bin_dense_train_data
      clf = CDClassifier(
          C=1.0, random_state=0, penalty="l2", loss="modified_huber"
      )
      clf.fit(bin_dense, bin_target)
      check_predict_proba(clf, bin_dense)
      acc = clf.score(bin_dense, bin_target)
      np.testing.assert_almost_equal(acc, 1.0)
  
imports: import numpy
  import pytest
  from sklearn.datasets import load_digits
  from sklearn.preprocessing import LabelBinarizer
  from lightning.impl.primal_cd import CDClassifier, CDRegressor
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 12 for calling a global function with example usage: test_fit_linear_binary_l2r_modified_huber(bin_dense_train_data) without return types