Numeric Scorer

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 Scorer

This node computes certain statistics between the a numeric column's values (r i ) and predicted (p i ) values. It computes =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.


Reference column
Column with the correct, observed, training data values.
Predicted column
Column with the modeled, predicted data values.
Change column name
Change the default output column name.
Output column name
The name of the column in the output.
Output scores as flow variables
Activate to receive all scores as flow variables.
Prefix of flow variables
The scores can be exported as flow variables with a hard coded name. This option allows you to define a prefix for these variable identifiers so that name conflicts are resolved.

Input Ports

Table with predicted and reference numerical data

Output Ports

The computed statistical measures:


A table with the statistical measures




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