Champion/Challenger Model Comparison

Owned by Dave Trier
Last updated: Oct 24, 2021

This section describes the Champion/Challenger feature in ModelOp Center, and how to use it to help determine the best model method or approach to promote to production.

 

Table of Contents

Introduction

Data Science requires experimentation using a variety of methods, approaches, frameworks, and potentially even coding languages. While most data scientists will conduct their experimentation in their model development environment, data scientists--and the managerial and governance reviewers--often want to review that a candidate model for production performs better than any currently running version of the model. The Champion/Challenger feature in ModelOp Center presents a side-by side comparison of the performance of different models--or versions of the same model--to help users analyze which model or model version is best suited for production usage.

The following phases lay the groundwork for doing a Champion/Challenger comparison.

  1. Define the evaluation metrics for the model. See Model Monitoring: Overview.

  2. Automate evaluation tests - this is done either by manually running metrics jobs (see Running a Metrics Job Manually) or through an automated MLC Process. You can build an MLC Process to automatically execute metrics tests for a particular version of a model. See Model Lifecycle Management Overview for more information.

  3. Conduct a side-by-side comparison of the test results in the Champion/Challenger page of the Command Center (see next section).

 

Champion/Challenger Comparison

For the previously generated metrics results (see steps 1 & 2 above), use the following steps to activate the Champion/Challenger feature in the ModelOp Center to compare test results side-by-side.

 

  1. Within the Production Model Inventory, select the checkbox in the “Champion/Challenger” column for each model that you would like to include in the comparison:

 

 

2. Hit the “Compare Models” button

 

 

3. The Champion/Challenger comparison screen will open to compare the latest Test Results for those selected models

 

 

 

See Model Governance: Standard Model Definition for more information about the information that is contained for each model within the Production Model Inventory.

 

Next Article: Model Monitoring: Overview >