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)),
Mean signed difference (1/n*Σ(p_{i}-r_{i})),
Mean absolute percentage error 1/n * Σ((|r_{i} - p_{i}|)/ |r_{i}|),
Adjusted R²=1-(1-R²)(n-1)/(n-p-1) (can be negative!).
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.
- 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.
- Output scores as flow variables
- Activate to receive all scores as flow variables.

- 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)
- Mean absolute percentage error 1/n * Σ((|r_i - p_i|)/|r_i|)
- Adjusted R²1-(1-R²)(n-1)/(n-p-1)

- Statistics
- A table with the statistical measures

- [ISPRENL S11] Group 5 MCO2 WorkflowKNIME Hub
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Forum
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
- Show all 830 workflows

- No links available

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

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:

v5.2

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

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud
or on-premises – with our brand new **NodePit Runner**.

Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.

**Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.**