`dataFrame.columns.stat — meanAbsError()`

Description

The meanAbsError() method of the stat object computes the mean absolute error (MAE) between two selected columns.

Signature

dataFrame.columns(...columnNames).stat.meanAbsError()

Scope: columns
Family: stat
Returns: object

Argument

...columnNames ( string[] ): The name of the columns from which to compute the mean absolute error.

Returns

mae (object): The computed mean absolute error.

Notes

The method requires exactly two selected columns.
The first selected column is interpreted as the observed values.
The second selected column is interpreted as the predicted values.
The mean absolute error is the average absolute difference between corresponding observations.
Lower values indicate better agreement between the two columns.
A value of 0 indicates a perfect match.

Example

// compute the MAE from values of 2 columns of the dataFrame
var mae = dataFrame.columns('actual', 'predicted').stat.meanAbsError();

// log the MAE
notebook.log(mae);