pith:7XVDKBIS
Aligning Validation with Deployment in Spatial Prediction: Target-Weighted Cross-Validation
Target-weighted cross-validation reduces bias in spatial prediction performance estimates by aligning validation tasks with the full deployment domain.
arxiv:2603.29981 v3 · 2026-03-31 · cs.LG · stat.ML
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\pithnumber{7XVDKBISHLGOFDTDRKDLIY2LSC}
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Record completeness
Claims
weighted CV approaches substantially reduce this bias when validation tasks adequately cover the deployment-task space.
That spatially meaningful task descriptors such as environmental covariates and prediction distance are sufficient to represent and cover the full deployment-task space for weighting purposes.
Target-Weighted Cross-Validation reduces bias in spatial model performance estimates by weighting validation tasks to match the distribution of prediction tasks across the deployment domain.
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| First computed | 2026-05-22T02:04:40.599562Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fdea3505123acce28e638a86b4634b90a3edac010a92c4a79569157eac3e9eac
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7XVDKBISHLGOFDTDRKDLIY2LSC \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fdea3505123acce28e638a86b4634b90a3edac010a92c4a79569157eac3e9eac
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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