# Evaluating the Performance of a Regression Model

**URL:** <https://forum.knime.com/t/evaluating-the-performance-of-a-regression-model/21802>\
**Category:** KCH Workflows\
**Created:** [March 17, 2020, 11:14am UTC](https://forum.knime.com/t/evaluating-the-performance-of-a-regression-model/21802 "2020-03-17T11:14:51Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Hub](https://forum-cdn.knime.com/user_avatar/forum.knime.com/hub/32/5438_2.png) [@Hub](https://forum.knime.com/u/Hub)\
**Post date:** [March 17, 2020, 11:14am UTC](https://forum.knime.com/t/evaluating-the-performance-of-a-regression-model/21802/1 "2020-03-17T11:14:51Z")

</div>

This workflow trains a linear regression model that predicts the amount of a credit. The performance of the linear regression model is evaluated with the Numeric Scorer node. The assumptions of the linear regression model are checked in a parallel workflow branch. In this branch we check for the linear correlation between independent columns, heteroscedasticity of the residuals, and normality of the residuals.

* * *
This is a companion discussion topic for the original entry at [https://kni.me/w/ijM45fGpZId\_JJd3](https://kni.me/w/ijM45fGpZId_JJd3)