code: def xgboost_multiclass_classifier():
      try:
          import xgboost
      except ImportError:
          return pytest.param(
              "xgboost.XGBClassifier", marks=pytest.mark.skip
          )
  
      X, y = datasets["multiclass"]
  
      model = xgboost.XGBClassifier()
      model.fit(X, y)
      return model, X, model.predict(X, output_margin=True)
  
imports: import numpy
  import pytest
  import sklearn
  import shap
  from shap.utils import assert_import
label_desc: Use image node_id 6 for calling a global function with example usage: xgboost_multiclass_classifier() and returns: model,  X,  model, pytest