How should picklist fields be managed within Einstein Prediction Builder?

Picklist fields in Einstein Prediction Builder require proper filtering or the use of formulas to ensure they contribute effectively to the prediction process. When utilizing picklist fields, it's essential to manage how the data interacts with the predictive models. This may involve defining specific criteria for which values in the picklist should be considered in the predictions or converting picklist values into a more usable format for the model.

Simply including them without any filters or formulas may lead to ineffective or inaccurate predictions, as the predictive model needs a clear understanding of which values are relevant. This careful management allows the model to interpret the data appropriately and generate meaningful insights, ensuring that the prediction outcomes are as accurate and relevant as possible.