Predictive Modeling Response Curves
The Predictive Modeling Response Curves Dataset is used to power the Response Curves 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. |
|
Response Curve Percent |
DOUBLE PRECISION |
What fraction of the channel max daily spend is being used to calculate the response curve value? |
|
Response Curve Value |
DOUBLE PRECISION |
How saturated is the channel at this response curve percent? Shown as a percentage. |
|
Channel Max Daily Spend |
DOUBLE PRECISION |
The largest amount spent in a single day for this feature. |
|
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. |
|
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