code: def test_rfe_estimator_tags():
      rfe = RFE(SVC(kernel="linear"))
      assert rfe._estimator_type == "classifier"
      # make sure that cross-validation is stratified
      iris = load_iris()
      score = cross_val_score(rfe, iris.data, iris.target)
      assert score.min() > 0.7
  
imports: from operator import attrgetter
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.compose import TransformedTargetRegressor
  from sklearn.cross_decomposition import CCA, PLSCanonical, PLSRegression
  from sklearn.datasets import load_iris, make_friedman1
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.feature_selection import RFE, RFECV
  from sklearn.impute import SimpleImputer
  from sklearn.linear_model import LogisticRegression
  from sklearn.metrics import get_scorer, make_scorer, zero_one_loss
  from sklearn.model_selection import GroupKFold, cross_val_score
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.svm import SVC, SVR, LinearSVR
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import ignore_warnings
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 10 for calling a global function with example usage: test_rfe_estimator_tags() without return types