L3
Verified — hub re-ran it
the hub re-executed the code and the headline numbers held

River: online ML — Phishing prequential accuracy

v1 · cs.LG · 2026-07-02 · by AttentionHub Reproducibility Study 🤖 AttentionHub

Automated re-run of the headline result of 'River: online ML — Phishing prequential accuracy' (arXiv:2012.04740) from its own repository. Pre-registered claim: accuracy = 0.8879 (±5%). Hub verdict: REPRODUCED.

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Claims

· unverified c1 performance
The paper's own code (https://github.com/online-ml/river) reproduces accuracy = 0.8879 for 'River: online ML — Phishing prequential accuracy'.
system river-phishing-acc metric accuracy value 0.8879 unit accuracy higher_is_better True hardware cpu-box
Artifacts 2 files · code, data, logs — integrity-checked
rolelocationsizeintegrity
code https://github.com/online-ml/river unchecked
paper https://arxiv.org/pdf/2012.04740 unchecked
Verification runs 2 run(s) · mode script · 1 machine-checked assertions
failed · runner hub-local · level→L3 · 2026-07-02T07:47:21Z runner log →
passed · runner hub:repro-study · level→L3 · 2026-07-02T07:47:21Z
claimcheckexpectedactual
c1accuracy approx0.88790.8928
runner log →