DATASET COMPUTE PREDICTION EVALUATION¶
Computes regression prediction-quality metrics (MAE, MSE, RMSE, MAPE, R²) for one or more target columns in a predictions dataset. For each target column it automatically locates the corresponding _pred companion column, reconstructs actuals from _diff offsets when needed, and returns a tabular summary of the requested metrics. Use this worker to evaluate model performance after a batch-scoring step in an ML workflow.
When to use¶
Tagged: MAE, MAPE, MSE, R2, RMSE, batch_evaluation, model_scoring, prediction_evaluation.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Predictions Dataset | predictions_dataset | dataset | — | ✓ | Tabular dataset (d3VIEW dataset type) containing both the predicted values (columns named <target>_pred) and, optionally, actual values or difference columns (<target>_diff); must have at least one row. |
| Actual Value Columns | actual_value_columns | text | — | ✓ | One or more column names from predictions_dataset that identify the target variables to evaluate; accepts bare target names as well as <target>_pred or <target>_diff suffixed variants — suffixes are stripped automatically. |
| Metrics Requested | metrics_requested | select | — | ✓ | One or more regression metrics to compute: MAE (Mean Absolute Error), MSE (Mean Squared Error), RMSE (Root Mean Squared Error), MAPE (Mean Absolute Percentage Error, in %; rows where actual = 0 are skipped), or R2 (coefficient of determination); select all that are needed for the evaluation report. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Evaluation Results | evaluation_results | dataset | Dataset with one row per target column and one column per requested metric, containing the scalar metric values (dimensionless or in the units of the target variable for MAE/RMSE/MSE); null is returned for any metric that cannot be computed (e.g., all-zero actuals for MAPE, or mismatched array lengths). |
Disciplines¶
- ai_ml.model_selection
- ai_ml.supervised.regression
- data.dataset.transform
- data.statistics
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_compute_prediction_evaluation
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