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
- 001_TS_predikce_SARIMA_basicKNIME 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
- Show all 945 workflows

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v5.3

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