class_docstr: Binary confusion matrix class
docstr: positive predictive value (PPV)
  eqv. with precision
  PPV = TP / (TP + FP) = TP / PositiveTest
docstr_tok: ["positive","predictive","value","(","PPV",")","eqv",".","with","precision","PPV","=","TP","\/","(","TP","+","FP",")","=","TP","\/","PositiveTest"]
code: def PPV(self):
      """
      positive predictive value (PPV)
      eqv. with precision
      PPV = TP / (TP + FP) = TP / PositiveTest
      """
      return np.float64(self.TP) / self.PositiveTest
  
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 27 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.PPV() and returns: unknown