Forecast Accuracy
  • 29 Sep 2022
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Forecast Accuracy

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Description

The Forecast Accuracy node is used to calculate a set of metrics from actuals/forecast data.


Configuration Options

Basic Configuration Options

Setting Description\Parameters
Split Columns The selected column(s) will be used to split the data set over when calculating summary metrics.
Sort By Columns Sort data rows by these columns.
Target Column Actuals data column.
Forecast Column Forecast data column.
Role Column Splits the data set into scoring and training data.
Training Value Value in the Role Column for training data.
Scoring Value Value is the Role Column for scoring data.
Time Granularity Length of time between records in the input data set. I.e., if each input records represents a week of data, the time granularity is Week.

Options
  • Day
  • Week
  • Month
  • Quarter
  • Year
Cache Training MAE Performance setting; use the same set of actuals to calculate the scaled MAE when performing a MASE calculation.
Metrics Selected metrics to calculate.

Options
  • Mean Forecast Error
  • Mean Absolute Error
  • Mean Absolute Percent Error
  • Mean Squared Error
  • Root Mean Squared Error
  • Mean Absolute Scaled Error
Select MASE Winners Produce a WINNER_COLOUMN and WINNER_FORECAST column based on which model produces the .

Options
  • Top 1
  • Top 3
  • None

Actions

Action Description
Preview After configuring the node, the combined result set can be previewed by clicking the Preview button.

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