code: def load_YearPredictionMSD():
      data_home = get_data_home()
      train_file = os.path.join(data_home, "YearPredictionMSD")
      test_file = os.path.join(data_home, "YearPredictionMSD.t")
      return _todense(_load(train_file, test_file, "YearPredictionMSD"))
  
imports: import os
  import numpy
  import scipy.sparse
  from sklearn.datasets.base import get_data_home
  from sklearn.utils import check_random_state
label_desc: Use image node_id 8 for calling a global function with example usage: load_YearPredictionMSD() and returns: _todense