confusion_matrix

Means to predict process flow, such as process outcome, next activity, next time, remaining time, and remaining trace. Off-the-shelf predictive models based on the concept of Transformers are provided, as well as multiple ways to customize the models. This package is partly based on work described in Zaharah A. Bukhsh, Aaqib Saeed, & Remco M. Dijkman. (2021). "ProcessTransformer: Predictive Business Process Monitoring with Transformer Network" <arXiv:2104.00721>.

Gert Janssenswillen

processpredictR

Process Prediction

Ivan Esin

Hasselt University 

confusion_matrix function

<dl><dt>predictions</dt>
<dd><code>ppred_predictions</code>: A <code><a href="/link/data.frame?package=processpredictR&version=0.1.0" data-mini-rdoc="processpredictR::data.frame">data.frame</a></code> with predicted values returned by <code>predict.ppred_model()</code>.</dd>
<dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Confusion matrix for predictions — confusion_matrix

<dl>

<dt>predictions</dt>
<dd><code>ppred_predictions</code>: A <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> with predicted values returned by <code>predict.ppred_model()</code>.</dd>


<dt>...</dt>
<dd>additional arguments.</dd>

</dl>

confusion_matrix: Confusion matrix for predictions

Description

Usage

Value

Arguments