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04_Evaluating_Regression_Model_Performance

Model evaluationRegressionPredictionMulticollinearityNormality
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Versionv1.0Latest, created on 
Oct 20, 2023 2:07 PM
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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.

External resources

  • Scoring Metrics eBook
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Created with KNIME Analytics Platform version 5.1.0
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