class_docstr: Benchmarks for RandomForestClassifier.
class_docstr_tok: ["Benchmarks","for","RandomForestClassifier","."]
code: def make_data(self, params):
      representation, n_jobs = params
  
      if representation == "sparse":
          data = _20newsgroups_highdim_dataset()
      else:
          data = _20newsgroups_lowdim_dataset()
  
      return data
  
imports: from sklearn.ensemble import GradientBoostingClassifier, HistGradientBoostingClassifier, RandomForestClassifier
  from .common import Benchmark, Estimator, Predictor
  from .datasets import _20newsgroups_highdim_dataset, _20newsgroups_lowdim_dataset, _synth_classification_dataset
  from .utils import make_gen_classif_scorers
label_desc: Use image node_id 2 for calling the RandomForestClassifierBenchmark obj's underlying member method code with example usage: obj.make_data(params) and returns: data