class_docstr: Binary confusion matrix class
docstr: accuracy (ACC)
  ACC = (TP + TN) / (P + N) = (TP + TN) / TotalPopulation
docstr_tok: ["accuracy","(","ACC",")","ACC","=","(","TP","+","TN",")","\/","(","P","+","N",")","=","(","TP","+","TN",")","\/","TotalPopulation"]
code: def ACC(self):
      """
      accuracy (ACC)
      ACC = (TP + TN) / (P + N) = (TP + TN) / TotalPopulation
      """
      return np.float64(self.TP + self.TN) / self.population
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import math
  import numpy
  import pandas
  import collections
  from pandas_ml.confusion_matrix.abstract import ConfusionMatrixAbstract
label_desc: Use image node_id 33 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.ACC() and returns: unknown