code: def score(self, x, y):
      import sklearn
  
      y_pred = self.predict_proba(x)[:, 1]
      return sklearn.metrics.roc_auc_score(y, y_pred)
  
imports: from __future__ import absolute_import
  import inspect
  import logging
  import warnings
  import threading
  import lore.env
  import lore.estimators
  from lore.util import timed, before_after_callbacks
  import xgboost
label_desc: Use image node_id 2 for calling the BinaryClassifier obj's underlying member method code with example usage: obj.score(x, y) and returns: sklearn