r_squared_poisson

actual

predicted

An optional reference mean used to derive the null deviance. Recommended in out-of-sample applications.

reference_mean

Further arguments passed to <code>r_squared</code>.

Wrapper to <code>r_squared</code> with <code>deviance_function = deviance_poisson</code>.

Provides weighted versions of several metrics, scoring
functions and performance measures used in machine learning, including
average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma
distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The
package also contains a weighted version of generalized R-squared, see
e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore,
'dplyr' chains are supported.

Michael Mayer

MetricsWeighted

Weighted Metrics, Scoring Functions and Performance Measures for
Machine Learning

Christian Lorentzen

r_squared_poisson function

<dl><dt>actual</dt>
<dd>Observed values.</dd>
<dt>predicted</dt>
<dd>Predicted values.</dd>
<dt>w</dt>
<dd>Optional case weights.</dd>
<dt>reference_mean</dt>
<dd>An optional reference mean used to derive the null deviance. Recommended in out-of-sample applications.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code>r_squared</code>.</dd></dl>

Arguments

Pseudo R-Squared regarding Poisson deviance — r_squared_poisson

<dl>

<dt>actual</dt>
<dd>Observed values.</dd>


<dt>predicted</dt>
<dd>Predicted values.</dd>


<dt>w</dt>
<dd>Optional case weights.</dd>


<dt>reference_mean</dt>
<dd>An optional reference mean used to derive the null deviance. Recommended in out-of-sample applications.</dd>


<dt>...</dt>
<dd>Further arguments passed to <code>r_squared</code>.</dd>

</dl>

r_squared_poisson: Pseudo R-Squared regarding Poisson deviance

Description

Usage

Value

Arguments

Details

See Also

Examples