class_docstr: Binary confusion matrix class
docstr: false negative (FN)
  eqv. with miss, Type II error / Type 2 error
docstr_tok: ["false","negative","(","FN",")","eqv",".","with","miss",",","Type","II","error","\/","Type","2","error"]
code: def FN(self):
      """
      false negative (FN)
      eqv. with miss, Type II error / Type 2 error
      """
      return self._df_confusion.loc[
          self._class(True), self._class(False)
      ]
  
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 16 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.FN() and returns: self