mlr_measures_classif.costs

MeasureClassifCosts

Uses a cost matrix to create a classification measure.
The cost matrix is stored as slot "costs".
Costs are aggregated with the mean.

datasets

Michel Lang

mlr3

Machine Learning in R - Next Generation

Bernd Bischl

Jakob Richter

Giuseppe Casalicchio

Patrick Schratz

Stefan Coors

Quay Au

mlr_measures_classif.costs function

<code><a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class()?package=mlr3&version=0.1.0-9000&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class()">R6::R6Class()</a></code> inheriting from <a rd-options="" href="/link/MeasureClassif?package=mlr3&version=0.1.0-9000" data-mini-rdoc="mlr3::MeasureClassif">MeasureClassif</a>.

Format

<pre>MeasureClassifCosts$new(costs = NULL, normalize = TRUE)
</pre>
<ul>
<li><code>id</code> :: <code>character(1)</code>
Identifier for the measure.</li>
<li><code>costs</code> :: <code>matrix()</code>
Numeric matrix of costs (truth in columns, predicted response in rows).</li>
<li><code>normalize</code> :: <code>logical(1)</code>
If <code>TRUE</code>, calculate the mean costs instead of the total costs.</li>
</ul>

Construction

Cost-sensitive Classification Measure — mlr_measures_classif.costs

<code><a rd-options='R6:R6Class' href='R6::R6Class()'>R6::R6Class()</a></code> inheriting from <a rd-options='' href='MeasureClassif'>MeasureClassif</a>.

Cost-sensitive Classification Measure

mlr_measures_classif.costs: Cost-sensitive Classification Measure

Description

Usage

Arguments

Format

Construction