Using Your Acquired Dataset Generated by a Classification or Regression Predictive Scenario

Depending on how you want to use your Classification or Regression Predictive Scenario, you need to keep different information in your generated dataset containing predictions.

Consuming your generated dataset in a story

To consume your generated dataset in a story, you need to keep some information:

The application dataset influencers, if these influencers are not available from another source.
The predictions
The key influencer (s)
Note
If you have specified the key influencer(s) during the training of your predictive model, it is automatically added.

You can then consume the generated dataset directly in a story:

Go to

Files

Create

Story

, then Access & Explore Data. Select Data acquired from an existing dataset or model and browse up to your generated dataset. As soon as a change will be done in the generated dataset, the story will be automatically updated.

Note

When you upload the generated dataset in a story, it implicitly becomes an "embedded" model.

For more information, refer to the related link Blending Data.

Combining existing data with the generated predictions and consuming them in a story

To combine existing data with your predictions, you need to keep the following information in your generated dataset:

The predictions
The key influencer(s)
Note
If you have specified the key influencer(s) during the training of your predictive model, it is automatically added.

Thanks to the key influencer(s), you can blend the predictions with other data sources, in the context of a story.

For more information, refer to the related link Blending Data.

Importing the generated dataset in SAP Analytics Cloud models

You can first use the generated dataset to create a SAC model and then consume it in a story.

Note

You will then be able to easily share this model with other users.

For more information, refer to the related link Creating a New Model and Model preferences.

To do so:

Create a model (from the main menu Create Model).
Select Get data from a data source.
From the proposed list, select Dataset and browse up to your generated dataset.