Starting with a Predictive Model

Once you've created a predictive scenario, you add its first predictive model. You start by selecting a data source that contains historical data, then specify the target that you want to explain or predict the values for.

The predictive model is built using SAP automated machine learning algorithms that explore relationships in the data, and find the best combinations. This is called training the predictive model, and the result is the predictive model that can be applied to new data to obtain predictions.

Each predictive model produces visualizations and KPIs that help you understand and evaluate the accuracy of a predictive model.

Depending on your business question, you will probably want to experiment a bit with different predictive models, varying the training data and settings to deliver a more accurate or relevant predictive output.

When you are confident that you have a trained predictive model that generates results that satisfy your business question, you can apply that predictive model to new data.