phiPlot

The phiPlot function uses a dataset ds containing many y values to produce a line plot of phi versus y and a boxplot of y, and aligns them, one above the other. The first extreme value on either side of the boxplot should correspond to the point where phi becomes exactly 1 on the line plot. This function is dependent on the robustbase, ggplot2 and ggpubr packages, and will not work without them.

Imbalanced domain learning has almost exclusively focused on solving
classification tasks, where the objective is to predict cases labelled with a
rare class accurately. Such a well-defined approach for regression tasks lacked
due to two main factors. First, standard regression tasks assume that each value
is equally important to the user. Second, standard evaluation metrics focus on
assessing the performance of the model on the most common cases. This package
contains methods to tackle imbalanced domain learning problems in regression
tasks, where the objective is to predict extreme (rare) values.
The methods contained in this package are: 1) an automatic and non-parametric
method to obtain such relevance functions; 2) visualisation tools; 3) suite of
evaluation measures for optimisation/validation processes; 4) the squared-error
relevance area measure, an evaluation metric tailored for imbalanced regression tasks.
More information can be found in Ribeiro and Moniz (2020) <doi:10.1007/s10994-020-05900-9>.

Nuno Moniz

IRon

Solving Imbalanced Regression Tasks

Rita P. Ribeiro

Miguel Margarido

phiPlot function

<dl><dt>ds</dt>
<dd>Dataset of y values</dd>
<dt>phi.parms</dt>
<dd>The relevance function providing the data points where the pairs of values-relevance are known. Default is NULL</dd>
<dt>limits</dt>
<dd>Vector with values to draw limits. Default is NULL</dd>
<dt>xlab</dt>
<dd>Label of the x axis. Default is y</dd>
<dt>...</dt>
<dd>Extra parameters when deriving the relevance function</dd></dl>

Arguments

Plot of phi versus y and boxplot of y — phiPlot

<dl>

<dt>ds</dt>
<dd>Dataset of y values</dd>


<dt>phi.parms</dt>
<dd>The relevance function providing the data points where the pairs of values-relevance are known. Default is NULL</dd>


<dt>limits</dt>
<dd>Vector with values to draw limits. Default is NULL</dd>


<dt>xlab</dt>
<dd>Label of the x axis. Default is y</dd>


<dt>...</dt>
<dd>Extra parameters when deriving the relevance function</dd>

</dl>

phiPlot: Plot of phi versus y and boxplot of y

Description

Usage

Value

Arguments

Examples