Model Quality

Overview

The model quality report contains standard charts that are commonly used to assess the quality of the model.. These charts vary by model type (e.g., Lorenz curve for Binary Classification vs. Standard Error Distribution for Regression models)

In addition to these standard reports, users can generate custom reports by using the custom report capability.

This report is used to assess the quality of a model’s prediction on the sample used during the job execution.

Creating Model Quality Reports

Model quality reports are automatically generated every time a job is run on a model

Example

• Model quality reports for binary classification models.

• Model quality reports for regression models