findnoise: Find the differences between two datasets

In noisemodel: Noise Models for Classification Datasets

Find the differences between two datasets

Description

Detect the differences between two datasets, focusing on the input attributes (x, xnoise), the output class (y, ynoise) or both depending on the type of the model (label, attributes, combined).

Usage

findnoise(x, y, xnoise, ynoise, model)

Arguments

x	a data frame of input attributes (clean dataset).
y	a factor vector with the output class of each sample (clean dataset).
xnoise	a data frame of input attributes (noisy dataset).
ynoise	a factor vector with the output class of each sample (noisy dataset).
model	a character with the name of the noise model.

Value

A list with four elements:

numnoise	an integer vector with the amount of noisy samples per variable.
idnoise	an integer vector list with the indices of noisy samples per variable.
numclean	an integer vector with the amount of clean samples per variable.
idclean	an integer vector list with the indices of clean samples per variable.

noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.