<model_name>!EXPLAIN_FEATURE_IMPORTANCE¶

Returns the relative feature importance for each feature used by the model.

Syntax¶

<model_name>!EXPLAIN_FEATURE_IMPORTANCE();

Copy

Column	Type	Description
SERIES	VARIANT	Series value (NULL if model was trained with single time series). Note Your single-series results may not have a SERIES column. See recent change.
RANK	INTEGER	The importance rank of a feature for a specific series
FEATURE_NAME	VARCHAR	The name of the feature used to train the model `aggregated_endogenous_features` represents all features derived as transformations of your target variable.
IMPORTANCE_SCORE	FLOAT	The feature’s importance score: a value in [0, 1], with 0 being the lowest possible importance, and 1 the highest.
FEATURE_TYPE	VARCHAR	The source of the feature, one of: `user_provided` `derived_from_timestamp` `derived_from_endogenous`