Predictive Modeling Feature Metrics Dataset (version 2022.4)

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.
Feature Importance DOUBLE PRECISION Importance of the feature in driving model predictions. Expressed as a percentage.
ROAS DOUBLE PRECISION Return on Ad Spend (ROAS) for this feature.
MROAS DOUBLE PRECISION Marginal Return on Ad Spend (mROAS) for this feature.
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.
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.
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

 

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