Model Performance

This section displays a benchmarking for the different models you have created. 

The ‘Model stability’ table in the Model performance tab displays the performance of all models that are currently in production or staged for production. 

Data Stability

In the 'Data Stability' section, users can assess data drift between two models for a comprehensive overview. After uploading your initial training data, if you upload a second file containing test data, a data drift report will be automatically generated. This report provides insights into the differences and stability between the training and test datasets.

By selecting the Baseline and Current tags, users can conduct a detailed comparison, which includes features, detected drift, method, feature type, drift score, and more.