code: def test_meta():
      (
          pool_classifiers,
          X_dsel,
          y_dsel,
          X_test,
          y_test,
      ) = setup_classifiers()
  
      meta_des = METADES(pool_classifiers)
      meta_des.fit(X_dsel, y_dsel)
      assert np.isclose(
          meta_des.score(X_test, y_test), 0.796969696969697
      )
  
file_path: DESlib/deslib/tests/test_des_integration_multiclass.py
imports: import numpy
  from sklearn.datasets import make_classification
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import StandardScaler
  from deslib.dcs.a_priori import APriori
  from deslib.dcs.mcb import MCB
  from deslib.des.des_mi import DESMI
  from deslib.des.des_p import DESP
  from deslib.des.knop import KNOP
  from deslib.des.meta_des import METADES
label_desc: Use image node_id 6 for calling a global function with example usage: test_meta() without return types