code: def accuracy(targets, predictions):
      return np.mean(np.array(targets) == np.array(predictions))
  
file_path: mlxtend/mlxtend/evaluate/bootstrap_point632.py
imports: from itertools import product
  import numpy
  from sklearn.base import clone
  from .bootstrap_outofbag import BootstrapOutOfBag
label_desc: Use image node_id 3 for calling a global function with example usage: accuracy(targets, predictions) and returns: np