code: def get_rakeld_with_svc(self):
      return RakelD(
          base_classifier=SVC(probability=True),
          base_classifier_require_dense=[False, True],
          labelset_size=TEST_LABELSET_SIZE,
      )
  
file_path: scikit-multilearn/skmultilearn/ensemble/tests/test_rakeld.py
imports: import unittest
  from sklearn.naive_bayes import GaussianNB
  from sklearn.svm import SVC
  from skmultilearn.ensemble import RakelD
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
label_desc: Use image node_id 1 for calling the RakelDTest obj's underlying member method code with example usage: obj.get_rakeld_with_svc() and returns: RakelD