Model Evaluation for Numeric Use Cases

The Model Evaluation tab provides information about a model’s performance, cross-validation results, and coefficient values.

Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it.

Navigate to Model Evaluation

In Performance, click Model Evaluation.

For model evaluation details, click a subtab.

• Overall Performance Tab for Numeric Use Cases
  The Overall Performance tab shows metrics for key indicators and model quality.
• Cross Validation Tab for Numeric Use Cases
  To test a model’s ability to make predictions, Einstein Discovery uses k-fold cross-validation, a process that reduces sampling bias when validating a model. This tab summarizes the results of the cross-validation process for this model, as well as some of the underlying computational details.
• Coefficients Tab for Numeric Use Cases
  A model uses coefficients to calculate a prediction for a specific observation. You can filter the list of coefficients and also download the data in a CSV file.
• Prediction Examination Tab for Numeric Use Cases
  The Prediction Examination tab allows you to interact with the model metrics and see how they stack up against actual outcomes.