ecom-offers: scoring is ROC-AUC, not R2
Browse files
datasets/tabred-real/ecom-offers/instruction.md
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@@ -34,4 +34,5 @@ Write predictions to **`/workspace/submission.csv`** with EXACTLY two columns:
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- `id` — copied from `test.csv`
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- `target` — predicted value
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Scoring: **
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- `id` — copied from `test.csv`
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- `target` — predicted value
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Scoring: **ROC-AUC** on the held-out (future) rows (higher is better). Submit a
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probability/score per row, not a hard 0/1 label.
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