class_docstr: Binary confusion matrix class
docstr: Negative likelihood ratio (LR-) = FNR / TNR
docstr_tok: ["Negative","likelihood","ratio","(","LR-",")","=","FNR","\/","TNR"]
code: def LRN(self):
      """
      Negative likelihood ratio (LR-) = FNR / TNR
      """
      return np.float64(self.FNR) / self.TNR
  
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 40 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.LRN() and returns: unknown