Machine Learning Model Details

Overview

The Machine Learning Model Details screen displays all of the information about a selected ML Model, as well as various reports and charts designed to help you understand your customer data, and to then take actionable data on those insights.

Access

To access the Machine Learning Model Details screen, click on the desired record from the Machine Learning Models screen.

Navigation links are provided near the top of the Machine Learning Model Details screen:

Back to Machine Learning Models: Click this link to return to the Machine Learning Models screen.
Next / Previous: Click these links to navigate to the Machine Learning Model Details screen for the next or previous Model.

The Machine Learning Model Details screen is organized into different sections available by clicking the appropriate tab.

Select an item above for more details on that tab.
Insights	Model Details	Records	Runs	Schedule	Results

Features

Additional features are available via a series of icons displayed near the top of the screen, next to the model name. The features available within this section are described below.

Set Model Status

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A Machine Learning Model must have a status (referred to as a "mode") of Published to be considered live and in use. To change the Model status:

Click the Change ML Model Mode icon.The "Edit Machine Learning Model" pop-up window is displayed.
Select the desired status for this Model -- Draft or Published.
Click save.

View or Edit Model Properties

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To view or edit the properties of a Machine Learning Model:

Click the Edit icon.The "Edit Machine Learning Model" pop-up window is displayed.
Make any necessary changes to the model properties.
Click save.

Rename Clusters

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When a new Clustering Model is executed, the Clusters identified by the Model are assigned default, non-descript names, like "Cluster 1," "Cluster 2," etc. The best practice is to provide custom, descriptive names for these Clusters, to make the reports more meaningful and easier to read. Using the model results displayed on the Insights tab, determine the distinctive qualities of a Cluster, such as demographics or behavior. Use those qualities to determine a good descriptive name for the Cluster.

Note: A Build query must be completed before the rename capability is enabled; a Scoring query must be completed for the naming changes to take effect.

To rename the Clusters in a Clustering Model:

Click the Edit icon. The "Edit Machine Learning Model" pop-up window is displayed.
Select the Basic Properties tab.
In the Cluster Renaming section, click the Edit icon.
Enter the descriptive name for a Cluster. Repeat this step as needed.
Click save.

Copy a Model

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To copy a Machine Learning Model:

Click the Copy icon.
The platform creates a new Model with the same properties as the copied Model.

Delete a Model

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To delete a Model:

Click the Delete icon. A confirmation dialog box is displayed.
Click confirm.

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