code: def benchmark_sparse_predict():
      X_test_sparse = csr_matrix(X_test)
      for _ in range(300):
          clf.predict(X_test_sparse)
  
imports: import numpy
  from scipy.sparse import csr_matrix
  from sklearn.linear_model import SGDRegressor
  from sklearn.metrics import r2_score
label_desc: Use image node_id 3 for calling a global function with example usage: benchmark_sparse_predict() without return types