A code example walkthrough of ML model quality evaluation using Python and the open-source Evidently library.
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Video 3. Evaluating ML model quality [CODE PRACTICE], by Emeli Dral
In this video, we walk you through the code example of ML model quality evaluation using Python and the open-source Evidently library.
Want to go straight to code? Here is the example notebook to follow along.
Outline: 00:00 Create a working environment and import libraries 02:45 Prepare datasets for classification and regression models 08:25 Build and customize classification quality report 14:50 Save and share the report 16:05 Display the report in JSON format and as a Python dictionary 18:15 Build and customize regression quality report
That’s it! We built an ML model quality report for classification and regression problems and learned how to display it in HTML and JSON formats and as a Python dictionary.
