Model Evaluation Tab for Multiclass Classification Use Cases

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

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.

In Performance, click Model Evaluation.

For model evaluation details, click a subtab.

• Overall Performance Tab for Multiclass Classification Use Cases
  The Overall Performance tab shows key metrics for model quality.
• Cross Validation Tab for Multiclass Classification 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.