class_docstr: Binary confusion matrix class
docstr: Returns negative class
  If BinaryConfusionMatrix was instantiate using y_true and y_pred
  as array of booleans, it should return False
  Else it should return the name (string) of the negative class
docstr_tok: ["Returns","negative","class","If","BinaryConfusionMatrix","was","instantiate","using","y_true","and","y_pred","as","array","of","booleans",",","it","should","return","False","Else","it","should","return","the","name","(","string",")","of","the","negative","class"]
code: def neg_class(self):
      """Returns negative class
      If BinaryConfusionMatrix was instantiate using y_true and y_pred
      as array of booleans, it should return False
      Else it should return the name (string) of the negative class"""
      return self.classes[0]
  
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 6 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.neg_class() and returns: self