code: def __init__(self, files=None, test_size=0.2):
      self.files = files
      self.test_size = test_size
  
imports: import bz2
  import urllib.request
  import numpy
  import datetime
  import line_profiler
  import os
  from sklearn.datasets import load_svmlight_file
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import ExtraTreesClassifier
  from sklearn.feature_selection import SelectFromModel
  from nni.algorithms.feature_engineering.gradient_selector import FeatureGradientSelector
label_desc: Use image node_id 1 to create a new Benchmark object  with example: obj = Benchmark(files, test_size)