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.
Workflow
04_Evaluating_Regression_Model_Performance
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.0
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