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.

- 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.

- 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)

- Statistics
- A table with the statistical measures

- 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 29 workflows

- 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

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To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v4.7

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

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