Numeric Scorer

This 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

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:

• 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)

Views

Statistics

A table with the statistical measures

Best Friends (Incoming)

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Best Friends (Outgoing)

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Workflows

• 01_​Guided_​Analytics (KNIME Hub) 
• 01_​Guided_​Analytics (KNIME Hub) 
• 01_​Learning_​a_​Simple_​Regression_​Tree (KNIME Hub) 
• 01_​Learning_​a_​Simple_​Regression_​Tree (KNIME Hub) 
• 01_​Learning_​a_​Simple_​Regression_​Tree (KNIME Hub) 
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Installation

To use this node in KNIME, install KNIME Base nodes from the following update site:

A zipped version of the software site can be downloaded here.

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Developers

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