Provides the biggest amount of statistical measures in the whole R world. Includes measures of regression, (multiclass) classification and multilabel classification. The measures come mainly from the 'mlr' package and were programed by several 'mlr' developers.

Performance Measures for Statistical Learning

package-ubuntu-20.04-r-4.0.5#cran#measures-0.3

<p>Mean of misclassification error rates on all individual classes.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>truth</code></td>
<td>
<p>vector of true values</p>
</td>
</tr>
<tr valign="top">
<td><code>response</code></td>
<td>
<p>vector of predicted values</p>
</td>
</tr>
</table>

n = 20
set.seed(122)
truth = as.factor(sample(c(1,2,3), n, replace = TRUE))
response = as.factor(sample(c(1,2,3), n, replace = TRUE))
BER(truth, response)

package-ubuntu-20.04-r-4.0.5#cran#measures-0.3#docs#BER

BER

Description

Usage

Arguments

Examples

measures

We don't support your browser anymore

`truth`	vector of true values
`response`	vector of predicted values