code: def rf_binary_classifier():
      X, y = datasets["binary"]
      model = sklearn.ensemble.RandomForestClassifier()
      model.fit(X, y)
      return model, X, model.predict_proba(X)
  
imports: import numpy
  import pytest
  import sklearn
  import shap
  from shap.utils import assert_import
label_desc: Use image node_id 12 for calling a global function with example usage: rf_binary_classifier() and returns: model,  X,  model