Get Feature Importance
Get feature importance data for an analysis.
Last updated
Get feature importance data for an analysis.
Last updated
This endpoint provides feature importance test results for an existing analysis, and returns a list of feature groups with associated Features API features and group p-values.
These values represent each group of features' statistical significance when it comes to impacting observable incremental/decremental changes in demand.
analysis_id
An existing Beam Analysis ID.
feature_importance
array
List of Feature Importance groups. Please refer to the Feature Importance Response Fields section below for the structure of each record.
feature_group
string
The name of the group. This typically refers to an event category.
E.g. severe-weather
, concerts
features
array
The names of the features in the feature group. These refer directly to features available in Features API.
E.g.
p_value
float
The p-value associated with this feature group for this analysis. It indicates how important the features in the group are in terms of demand.
The lower the p-value, the more important the feature group is.
E.g. 0.312
important
boolean
A true
of false
value indicating whether the feature group is considered important for this analysis.
Equivalent to p_value < 0.1
We suggest using this value to determine whether or not to include this group of features in your modeling.
Below are some guides relevant to this API: