accuracy

Computes average classification accuracy.

parameter learning

Provides a suite of helper functions and a collection of datasets used in the book <https://uncovering-data-science.netlify.app>. It is designed to make data science techniques accessible to individuals with minimal coding experience. Inspired by an ancient Persian idiom, the package likens this learning process to "eating the liver of data science," symbolizing deep and immersive engagement with the field.

Abdolreza Mohammadi

liver

"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

accuracy function

<dl> <dt>pred</dt>
<dd>a numerical vector of estimated values.</dd> <dt>actual</dt>
<dd>a numerical vector of actual values.</dd> <dt>cutoff</dt>
<dd>cutoff value for the case that <code>pred</code> is vector of probabilites.</dd>
 
 <dt>reference</dt>
<dd>a factor of classes to be used as the true results.</dd></dl>

Arguments

Reza Mohammadi <a href="/link/a.mohammadi%40uva.nl?package=liver&version=1.19" data-mini-rdoc="liver::a.mohammadi@uva.nl">a.mohammadi@uva.nl</a> and Kevin Burke <a href="/link/kevin.burke%40ul.ie?package=liver&version=1.19" data-mini-rdoc="liver::kevin.burke@ul.ie">kevin.burke@ul.ie</a>

Author

Average classification accuracy — accuracy

<dl>

 <dt>pred</dt>
<dd>a numerical vector of estimated values.</dd>

 <dt>actual</dt>
<dd>a numerical vector of actual values.</dd>

 <dt>cutoff</dt>
<dd>cutoff value for the case that <code>pred</code> is vector of probabilites.</dd>
 
 <dt>reference</dt>
<dd>a factor of classes to be used as the true results.</dd>

</dl>

Reza Mohammadi <a href='mailto:a.mohammadi@uva.nl'>a.mohammadi@uva.nl</a> and Kevin Burke <a href='mailto:kevin.burke@ul.ie'>kevin.burke@ul.ie</a>

accuracy: Average classification accuracy

Description

Usage

Value

Arguments

Author

See Also

Examples