code: def test_if_sparse_classification_works_on_dense_base_classifier(
      self,
  ):
      classifier = LabelPowerset(
          classifier=GaussianNB(), require_dense=[True, True]
      )
  
      self.assertClassifierWorksWithSparsity(classifier, "sparse")
      self.assertClassifierPredictsProbabilities(classifier, "sparse")
  
file_path: scikit-multilearn/skmultilearn/problem_transform/tests/test_lp.py
imports: import unittest
  from sklearn.naive_bayes import GaussianNB
  from sklearn.svm import SVC
  from skmultilearn.problem_transform import LabelPowerset
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
label_desc: Use image node_id 3 for calling the LPTest obj's underlying member method code with example usage: obj.test_if_sparse_classification_works_on_dense_base_classifier() without return types