Difference between revisions of "sklearn.metrics Module"

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An [[sklearn.metrics Module]] is an [[sklearn]] [[Python module|module]] that contains a collection of [[Metric]]s [[subroutine]]s.
 
An [[sklearn.metrics Module]] is an [[sklearn]] [[Python module|module]] that contains a collection of [[Metric]]s [[subroutine]]s.
 
* <B>Context:</B>
 
* <B>Context:</B>
** It can (often) reference a [[sklearn.metrics]] system.
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** It can (often) reference a [[sklearn.metrics Module|sklearn.metrics]] system.
*** <code>[[sklearn.metrics]].<span style="font-weight:italic; color:green">Metric_Name(self, arguments)</i></code>  or simply <code>[[sklearn.metrics]].<span style="font-weight:italic; color:green">Metric_Name()</i></code> <P>where <i>Metric_Name</i> is the name of the selected [[Metric]] [[subroutine]].
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*** <code>[[sklearn.metrics Module|sklearn.metrics]].<span style="font-weight:italic; color:green">Metric_Name(self, arguments)</i></code>  or simply <code>[[sklearn.metrics Module|sklearn.metrics]].<span style="font-weight:italic; color:green">Metric_Name()</i></code> <P>where <i>Metric_Name</i> is the name of the selected [[Metric]] [[subroutine]].
 
** It can range from being [[Classification Metric]]s, to being [[Regression Metric]]s, to being [[Multilabel Ranking Metric]]s, to being [[Clustering Metric]]s, to being [[Biclustering Metric]]s, to being [[Pairwise Metric]]s.
 
** It can range from being [[Classification Metric]]s, to being [[Regression Metric]]s, to being [[Multilabel Ranking Metric]]s, to being [[Clustering Metric]]s, to being [[Biclustering Metric]]s, to being [[Pairwise Metric]]s.
 
* <B>Example(s)</B>
 
* <B>Example(s)</B>

Latest revision as of 20:45, 23 December 2019

An sklearn.metrics Module is an sklearn module that contains a collection of Metrics subroutines.



References

2017A

  • (Scikit Learn, 2017) ⇒ http://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics Retrieved:2017-11-12
    • QUOTE: See the Model evaluation: quantifying the quality of predictions section and the Pairwise metrics, Affinities and Kernels section of the user guide for further details.

      The sklearn.metrics module includes score functions, performance metrics and pairwise metrics and distance computations.