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Numeric Scorer Node

Model evaluationRegressionPredictionMulticollinearityNormality
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Nov 5, 2024 5:01 AM
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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 5.3.2
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    KNIME AG, Zurich, Switzerland

    Version 5.3.2

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