You are here:
Model Evaluation Tab for Multiclass Classification Use Cases
The Model Evaluation tab provides information about a model’s performance and cross-validation results.
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.

