A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included. Which action should the Einstein Consultant take?
Below is the answer and explanation for the question in the Salesforce Exams.
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the Einstein Consultant take?
- Adjust the model to eliminate extreme values in the outcome variable. ✅
- Use SKU numbers rather than product names to increase clarity.
- Split the analysis into multiple models with each having fewer products.
- Run the model using the default variables in the Product object.
Adjust the model to eliminate extreme values in the outcome variable. ✅
While other story insights show historical data from past activities, predictions and improvements calculate statistically probable outcomes of future events. Einstein Discovery conducts predictive analysis to predict future outcomes, and prescriptive analysis to suggest ways in which to improve those predicted outcomes. Predictions and improvements come from the kind of regression and machine-learning analysis that data scientists conduct using advanced analytics and AI tools. Use predictions and improvements to interactively perform “what if” analyses on your data.
When you create a story with Insights & Predictions selected, Einstein Discovery also generates a model that it uses to produce predictions and improvements. You can think of a model as a sophisticated algorithm that accepts inputs (the values of explanatory variables in your data) and produces outputs (predictions and improvements). Therefore, a prediction is a derived value, produced by an Einstein Discovery model, that represents a possible future outcome. An improvement is a suggested action, based on prescriptive analytics, that a user can take to improve the likelihood of a desired outcome.
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