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.
|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|