update - #31
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update#31
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The three runs returned on 2026-09-04 but were missed by the 2026-09-11 ingest. Accuracy 1.0000, 0.5700 and 0.5167. Three rows are added per metric and no existing row changes. LiteTIME is withheld from every table, so no page changes. It is now missing only BIDMC32HR_disc and BIDMC32SpO2_disc in Multiverse-core. A survey of D:/Results/Multiverse found no other resample-0 result for an ingested estimator that is not already in the repository, and every ingested value still matches its prediction file. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
docs/classifiers.md still described lr_adjust="type1" as the default, which it has not been since 99bbb12. The default is a constant rate, and the note now says why: TSLib's schedule freezes the model by epoch 15, which TSLib survives only because it selects the retained epoch on the test set. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
MUSE has resample-0 results on 61 of the core datasets. It is withheld from the tables, with the reason stated, since it would take the core table from 58 to 55 datasets. On STEW and Skoda its word bag outgrows the 32-bit sparse indices scikit-learn's classifier accepts, which memory cannot fix. On USCActivity its chi2 selection needs 287 GiB. MotorImagery exhausted 16 GB, and its 620 GB retry ran with support_probabilities=False, unlike the other 61, so it failed in predict_proba and is rerunnable. BenzeneConcentration_disc is removed from Multiverse-core, now 65 datasets. The results were run on version 1 of the data, whose PT08.S2 channel is a deterministic function of the target; version 2 on Zenodo drops it (https://zenodo.org/records/21871727). It is held out through DEFERRED_DATASETS until aeon's list is changed, and stays in the paper's 100 and in multiverse2026. The core table goes from 58 to 57 datasets. URLs in a deferred dataset's reason are now rendered as links. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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results/schema.md.