Last updated: Jun 15, 2023
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 = ___________________________________________________________________________________________
2
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Parent topic: Fairness metrics overview