addPrevalence

[<code><a rd-options="" href="/link/RBPObj?package=RBPcurve&version=1.2" data-mini-rdoc="RBPcurve::RBPObj">RBPObj</a></code>]
Data container for RBP curve.

[<code>logical(1)</code>]
Whether the values of the corresponding measure should be added to the plot?
Default is <code>FALSE</code>.

plot.values

[<code>numeric(1)</code>]
Indicates the number of decimal places for the values that are plotted when 
<code>plot.values = TRUE</code>.
Default is <code>3L</code>.

digits

[<code>character(1)</code> | <code>numeric(1)</code>]
A specification for the plotting color.

The prevalence is the proportion of a population having a specific condition.
In binary classification, the condition refers to whether the target variable has the value
<code>1</code>, that is, whether the target variable corresponds to the positive class.

The RBP curve is a visual tool to assess the
performance of prediction models.

Giuseppe Casalicchio

RBPcurve

The Residual-Based Predictiveness Curve

addPrevalence function

[<code><a rd-options='' href='RBPObj'>RBPObj</a></code>]
Data container for RBP curve.

addPrevalence: Visualizes the prevalence on the RBP curve.

Description

Usage

Arguments

Value