Evaluating the Performance of a Regression Model

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