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Average odds difference in Watson OpenScale fairness metrics
Last updated: Jun 15, 2023
Average odds difference in Watson OpenScale fairness metrics

The average odds difference gives the percentage of transactions that were incorrectly scored by your model in Watson OpenScale.

Average odds difference at a glance

  • Description: Returns the difference in error rate for the monitored and reference groups.
    • At 0: Both groups have equal odds.

Do the math

The following formula is used for calculating false positive rate (FPR):

                               false positives       
False positive rate   =   _________________________
                               total negatives

The following formula is used for calculating true positive rate (TPR):

                             True positives      
True positive rate   =   ______________________
                              All positives

The following formula is used for calculating average odds difference:

                             (FPR monitored group - FPR reference group) + (TPR monitored group - TPR reference group)       
Average odds difference  =   ___________________________________________________________________________________________

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Learn more

Reviewing fairness results

Parent topic: Fairness metrics overview

Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more