This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementNumeric ScorerThis node computes certain statistics between the a numeric column's values (r i ) and predicted (p i ) values. It computes R² =1-SS res /SS tot =1-Σ(p i -r i )²/Σ(r i -1/n*Σr i )² (can be negative!), mean absolute error (1/n*Σ|p i -r i |), mean squared error (1/n*Σ(p i -r i )²), root mean squared error (sqrt(1/n*Σ(p i -r i )²)), and mean signed difference (1/n*Σ(p i -r i )). The computed values can be inspected in the node's view and/or further processed using the output table.
Options
Output Ports
- The computed statistical measures:
- R² - coefficient of determination , 1-SS_res/SS_tot
- Mean squared error - 1/n*Σ((p_i-r_i)²)
- Mean absolute error - 1/n*Σ|p_i-r_i|
- Root mean squared error - Sqrt(1/n*Σ((p_i-r_i)²))
- Mean signed difference - 1/n*Σ(p_i - r_i)
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Views
- Statistics
- A table with the statistical measures
Workflows
01_Guided_AnalyticsKNIME Hub- 01_Guided_AnalyticsKNIME Hub
- 01_Learning_a_Simple_Regression_TreeKNIME Hub
- 01_Learning_a_Simple_Regression_TreeKNIME Hub
- 01_Learning_a_Simple_Regression_TreeKNIME Hub
- Show all 37 workflows
Links
- Predictive analytics for Salesby mlauber71 on 2018-12-11forum.knime.com/p/51276
- Forecasting sales per customer for the next 360 daysby mlauber71 on 2019-01-26forum.knime.com/p/53526
Developers
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