class_docstr: Binary confusion matrix class
docstr: false discovery rate (FDR)
  FDR = FP / (FP + TP) = 1 - PPV
docstr_tok: ["false","discovery","rate","(","FDR",")","FDR","=","FP","\/","(","FP","+","TP",")","=","1","-","PPV"]
code: def FDR(self):
      """
      false discovery rate (FDR)
      FDR = FP / (FP + TP) = 1 - PPV
      """
      return np.float64(self.FP) / 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 31 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.FDR() and returns: unknown