04_​Evaluating_​Regression_​Model_​Performance

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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.

URL: Scoring Metrics eBook https://www.knime.com/knimepress/scoring-metrics-evaluating-machine-learning-models

Nodes

• CSV Reader1 ×
• Density Plot1 ×
• Linear Correlation1 ×
• Linear Regression Learner1 ×
• Math Formula1 ×
• Show all 11 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Views

Links

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