class_docstr: Binary confusion matrix class
docstr: Returns positive class
  If BinaryConfusionMatrix was instantiate using y_true and y_pred
  as array of booleans, it should return True
  Else it should return the name (string) of the positive class
docstr_tok: ["Returns","positive","class","If","BinaryConfusionMatrix","was","instantiate","using","y_true","and","y_pred","as","array","of","booleans",",","it","should","return","True","Else","it","should","return","the","name","(","string",")","of","the","positive","class"]
code: def pos_class(self):
      """Returns positive class
      If BinaryConfusionMatrix was instantiate using y_true and y_pred
      as array of booleans, it should return True
      Else it should return the name (string) of the positive class"""
      return self.classes[1]
  
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 5 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.pos_class() and returns: self