Metrics for the Tabular Regression model with GUI#

The Metrics tab calculates a set of metrics on the provided dataset.

Metrics, provided for Regression are:

\[\frac{ \|prediction - reference\|_{fro}}{\|reference\|_{fro}}\]
\[\frac{ \|prediction - reference\|_{fro}}{\|(reference - mean(reference))\|_{fro}}\]
\[\frac{max(|prediction - reference|)}{max(|reference|)}\]
\[\frac{max(|prediction - reference|)}{max(|reference|) - min(|reference|)}\]
  • Switch to the Metrics tab

  • To calculate metrics, click on the dataset in the Evaluation files section. Use Aditional + to add the datasets.

  • The results are displayed, and the Metrics tab provides also a Plot reference vs. prediction for the selected dataset.

An example of a result looks as follows:


GUI operations: metrics evaluation for Regression, test case Energy consumption#


By default, the evaluation of metrics is performed with the last model available in the checkpoint.
Use the checkpoint slider in the bottom to choose any other available model and get its metrics.