A model that is memorized within Predict can then be imported into Construct and applied to a data file. The model algorithm is applied to each data record, resulting in a probability score for the desired outcome. This is the recommended method of applying the probability formula to your data.
To do this, in Construct, right-click in your workflow where you want the scoring model to be entered. Select Wizard > Import Scoring Model and browse to the location of the memorized model. The scoring model will enter as a Transform node containing the algorithm that was created in Predict. Once run, a resulting probability score will be represented in the dataset as a new column in the output of the Construct job.