class_docstr: Binary confusion matrix class
docstr: Miss Rate or False Negative Rate (FNR)
  FNR = FN / P = FN / (FN + TP)
docstr_tok: ["Miss","Rate","or","False","Negative","Rate","(","FNR",")","FNR","=","FN","\/","P","=","FN","\/","(","FN","+","TP",")"]
code: def FNR(self):
      """
      Miss Rate or False Negative Rate (FNR)
      FNR = FN / P = FN / (FN + TP)
      """
      return np.float64(self.FN) / self.P
  
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 32 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.FNR() and returns: unknown