pith:W2IXFVWC
Woodelf++: A Fast and Unified Partial Dependence Plot Algorithm for Decision Tree Ensembles
Woodelf++ computes partial dependence plots, joint plots, and all-order interaction values for decision tree ensembles with exponential complexity reductions.
arxiv:2605.14578 v1 · 2026-05-14 · cs.LG
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Claims
Woodelf++ computes Any-Order-PDIVs for every feature subset across all rows with an exponential complexity improvement, finishing in 5 minutes on a 400k-row dataset while the state of the art would require over 1,000,000 years.
The claimed exponential gain and practical speedups rest on the assumption that the pseudo-Boolean function metrics derived from the tree ensemble can be evaluated without hidden per-row or per-subset overheads that grow with dataset size or number of features.
Woodelf++ computes exact and approximate PDPs, Joint-PDPs, and Any-Order-PDIVs for decision tree ensembles with up to exponential speedups by deriving metrics over pseudo-Boolean functions.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:05.396192Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W2IXFVWCDC76WC66NGC7EN5L3J \
| 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: b69172d6c218bfeb0bde6985f237abda4a5dfe584b8ae68d06f503a6586f5fc5
Canonical record JSON
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