quality_control: correct the per-class accuracy formula #7640
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The current formula used to calculate `ConfusionMatrix.accuracy` is, in fact, not accuracy, but the Jaccard index. Replace it with the correct formula. Since the Jaccard index is a useful metric in its own right, calculate it too, but save it in another attribute of `ConfusionMatrix`.
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Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## develop #7640 +/- ##
========================================
Coverage 83.46% 83.46%
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Files 373 373
Lines 39723 39725 +2
Branches 3741 3741
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+ Hits 33154 33156 +2
Misses 6569 6569
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zhiltsov-max
approved these changes
Mar 21, 2024
3 tasks
Merged
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Motivation and context
The current formula used to calculate
ConfusionMatrix.accuracyis, in fact, not accuracy, but the Jaccard index. Replace it with the correct formula.Since the Jaccard index is a useful metric in its own right, calculate it too, but save it in another attribute of
ConfusionMatrix.How has this been tested?
Manual testing.
Checklist
developbranch[ ] I have updated the documentation accordingly[ ] I have added tests to cover my changes[ ] I have linked related issues (see GitHub docs)[ ] I have increased versions of npm packages if it is necessary(cvat-canvas,
cvat-core,
cvat-data and
cvat-ui)
License
Feel free to contact the maintainers if that's a concern.