Which property holds the output of the predictive model in Pega?

The property that holds the output of the predictive model in Pega is indeed known as the pyOutcome property. This property specifically holds the results generated by decision-making models, such as the outcomes predicted based on the data input.

Using pyOutcome allows users to leverage the insights from predictive analytics effectively to drive decisions. It captures the likelihood or performance indicators based on historical data and the model's learning, thus facilitating targeted actions and personalized experiences for users and customers.

The other options may refer to various components in Pega or related contexts but do not specifically represent the designated property for predictive model outputs. For instance, pxSegment is generally associated with customer segmentation, pyPropensity relates to the probability of a specific customer action within a context, and pxOutput might pertain to other outputs in Pega’s framework but does not specifically target predictive model results.

Understanding that pyOutcome is the property for predictive outputs is crucial for implementing and analyzing Pega's decisioning features effectively.