class_docstr: Binary confusion matrix class
docstr: specificity (SPC) or true negative rate (TNR)
  SPC = TN / N = TN / (FP + TN)
docstr_tok: ["specificity","(","SPC",")","or","true","negative","rate","(","TNR",")","SPC","=","TN","\/","N","=","TN","\/","(","FP","+","TN",")"]
code: def TNR(self):
      """
      specificity (SPC) or true negative rate (TNR)
      SPC = TN / N = TN / (FP + TN)
      """
      return np.float64(self.TN) / self.N
  
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 24 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.TNR() and returns: unknown