print.roc_measures

Print the confusion matrix and a set of roc performance measures.

Efficient, object-oriented programming on the
building blocks of machine learning. Provides 'R6' objects for tasks,
learners, resamplings, and measures. The package is geared towards
scalability and larger datasets by supporting parallelization and
out-of-memory data-backends like databases. While 'mlr3' focuses on
the core computational operations, add-on packages provide additional
functionality.

Marc Becker

mlr3

Machine Learning in R - Next Generation

Michel Lang

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

Florian Pfisterer

Raphael Sonabend

Lennart Schneider

Sebastian Fischer

Lona Koers

John Zobolas

print.roc_measures function

<dl><dt>x</dt>
<dd>(<code>roc_measures</code>) 
The object returned by <code>score_roc_measures</code>.</dd>
<dt>abbreviations</dt>
<dd>(<code>logical(1)</code>) 
If <code>TRUE</code>, print a list of abbreviations for the measures.</dd>
<dt>digits</dt>
<dd>(<code>integer(1)</code>) 
Number of digits to round the measures to.</dd>
<dt>...</dt>
<dd>(<code>any</code>) 
Additional parameters, currently unused.</dd></dl>

Arguments

Print ROC Measures — print.roc_measures

<dl>

<dt>x</dt>
<dd>(<code>roc_measures</code>) 
The object returned by <code>score_roc_measures</code>.</dd>


<dt>abbreviations</dt>
<dd>(<code>logical(1)</code>) 
If <code>TRUE</code>, print a list of abbreviations for the measures.</dd>


<dt>digits</dt>
<dd>(<code>integer(1)</code>) 
Number of digits to round the measures to.</dd>


<dt>...</dt>
<dd>(<code>any</code>) 
Additional parameters, currently unused.</dd>

</dl>

Print ROC Measures

print.roc_measures: Print ROC Measures

Description

Usage

Arguments