MAE: Calculate the MAE of a dpCDF relative to that of the...

In CDF.PSIdekick: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions

Description

Calculates the Mean Absolute Error area between the non-private CDF and the dpCDF

Usage

MAE(Y, est, ...)

Arguments

Y	The vector output of a non-differentially private CDF computation (cumulative count bins)
est	The vector output of a differentially private CDF computation (cumulative count bins)
...	Optionally add additional parameters. This is primarily used to allow automated execution of varied diagnostic functions.

Value

The MAE

Examples

MAE(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1), c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1))

Example output

[1] 0.2

CDF.PSIdekick documentation built on May 30, 2017, 5:09 a.m.