percentage_agreement

A confusion matrix from <code><a rd-options="c2c" href="/link/get_conf_mat?package=c2c&version=0.1.0&to=c2c" data-mini-rdoc="c2c::get_conf_mat">get_conf_mat</a></code> or otherwise (ideally a matrix, although data frames will probably work)

conf_mat

Used to calculate overall percentage agreement for a confusion matrix - the confusion matrix must have equal dimensions and the diagonal must represent 'matching' class pairs (percentage agreement does not make sense otherwise)

Compare two classifications or clustering solutions that may or may
not have the same number of classes, and that might have hard or soft
(fuzzy, probabilistic) membership. Calculate various metrics to assess how
the clusters compare to each other. The calculations are simple, but provide
a handy tool for users unfamiliar with matrix multiplication. This package
is not geared towards traditional accuracy assessment for classification/
mapping applications - the motivating use case is for comparing a
probabilistic clustering solution to a set of reference or existing class
labels that could have any number of classes (that is, without having to
degrade the probabilistic clustering to hard classes).

Mitchell Lyons

Compare Two Classifications or Clustering Solutions of Varying
Structure

percentage_agreement function

A confusion matrix from <code><a rd-options='c2c' href='get_conf_mat'>get_conf_mat</a></code> or otherwise (ideally a matrix, although data frames will probably work)

percentage_agreement: Calculate overall percentage agreement

Description

Usage

Arguments

Value