conf.mat

parameter learning

Offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.

Abdolreza Mohammadi

liver

"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

conf.mat function

<dl> <dt>pred </dt>
<dd>a vector of estimated values.</dd> <dt>actual</dt>
<dd>a 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>	<dt>proportion</dt>
<dd>Logical: FALSE (default) for a confusion matrix with number of cases. 
		 TRUE, for a confusion matrix with the proportion of cases.</dd> <dt>dnn </dt>
<dd>the names to be given to the dimensions in the result (the dimnames names).</dd> <dt>... </dt>
<dd>options to be passed to <code>table</code>.</dd></dl>

Arguments

Reza Mohammadi <a href="/link/a.mohammadi%40uva.nl?package=liver&version=1.17" 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=1.17" data-mini-rdoc="liver::kevin.burke@ul.ie">kevin.burke@ul.ie</a>

Author

Confusion Matrix — conf.mat

<dl>

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

 <dt>actual</dt>
<dd>a 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>

	<dt>proportion</dt>
<dd>Logical: FALSE (default) for a confusion matrix with number of cases. 
		 TRUE, for a confusion matrix with the proportion of cases.</dd>

 <dt>dnn </dt>
<dd>the names to be given to the dimensions in the result (the dimnames names).</dd>

 <dt>... </dt>
<dd>options to be passed to <code>table</code>.</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>

conf.mat: Confusion Matrix

Description

Usage

Value

Arguments

Author

See Also

Examples