ChannelMix | Predictive Modeling Feature Metrics – ChannelMix

The ChannelMix Predictive Modeling Feature Metrics Dataset is used to power the Feature Metrics section of the Pipeline with Predictive Modeling Dashboard. The dataset contains metrics produced while training the model.

The dataset is refreshed at the same cadence as the Predictive Model is refreshed - monthly by default. Only the most recently produced results are displayed in the dashboard.

Field Name	Field Type	Description
Feature	TEXT	Name of the feature in the model. I.e. Paid Social, Display, etc.
Ordering Index	INT	The order a feature should appear in.
Return Metric	FLOAT	The metric that the row is associated with. I.e. mROAS (marginal return on ad spend), weekly_seasonality, etc.
Return Metric Value	VARCHAR	Importance of the feature in driving model predictions.
Feature Grouping	VARCHAR	The categorization of the row's feature. I.e. Paid, Seasonality
Min Date	TIMESTAMP	Earliest date used to determine ROAS.
Max Date	TIMESTAMP	Most recent date used to determine ROAS.
Target Variable Pretty	TEXT	A more descriptive name for the target variable to be displayed in the dashboard.
Target Variable	TEXT	The name of the field the model is trained to predict.
OneView Name	TEXT	The name of the OneView data is pulled from to model.
Feature Type	TEXT	The name of the feature used to predict the target variable.
Category	TEXT	Name of the category in the model. I.e. Client 1, Client 2, Line of Business 1, Line of Business 2, etc.
Category Type	TEXT	The name of the category used to create a hierarchy
Model Run Date	DATE	The date the model was trained.
Training Start Date	TIMESTAMP	Earliest date provided to the model in training.
Training End Date	TIMESTAMP	Most recent date provided to the model in training.
Most Recent Model	INTEGER
Insert Date	TIMESTAMP	The date in which the record was loaded into the data warehouse
Channelmix Profile	TEXT	The ChannelMix Profile associated to the data

Version 2022.4

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