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test(classifier): update test harness for classifiers - #454
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CI measured 89.2% cumulative accuracy for ShrubsClassifier on ElectricityTiny vs. the 89.15% baked into classifier.yml, a gap equal to one flipped prediction out of ~2000. ShrubsClassifier trains via per-instance SGD over many sequential floating-point updates, so a sub-ULP difference between platforms/BLAS builds can compound and flip a single borderline prediction. Determinism, predict, and save/load tests for this case are unaffected, so this isn't a logic bug. Add an optional accuracy_abs_tolerance field to the test harness Case, defaulting to None (unchanged exact comparison for all other cases), and set it to 1.0 for ShrubsClassifier. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Fix grammar, a copy-pasted classifier name, a contradictory abstention note, and trim an over-long CSMOTE explanation. Assisted-by: claude-code:claude-sonnet-5
…P drift Assisted-by: claude-code:claude-sonnet-5.5
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test_classifiersuite of tests parameterized byclassifier.yml.Closes: https://github.com/adaptive-machine-learning/backlog/issues/161