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microsoft
databricks-mlops-workshop
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Feature/holdout evaluation
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Ben Constable (BenConstable9)
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Jul 16, 2026
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Feature/holdout evaluation
#19
Ben Constable (BenConstable9)
merged 7 commits into
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microsoft/databricks-mlops-workshop:main
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feature/holdout-evaluation
microsoft/databricks-mlops-workshop:feature/holdout-evaluation
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Commits on Jul 16, 2026
feat(eval): use a proper, deterministic hold-out split for evaluation
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feat(eval): group split by customer + stratify by fraud; grouped k-fold in training
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feat(monitoring): use the validation split as the drift baseline
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fix(training): confusion matrix uses a grouped demo fold, not removed X_test/y_test
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Apply fix for hash collision
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Remove double spark job
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fix(split,training): use deterministic hash bucket split and guard fold balancing
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