ensemble-missingness-scorecard

Task gallery / Machine learning / Version 1

Reference solution (oracle): Unverified
No-op resistance check: Unverified
QA verdict: Not recorded
Aggregate eligibility: Eligible version

The task

Ensemble regression evaluation Evaluate a multivariate regression ensemble when target coordinates and model members are partially missing. Produce case scores, aggregate proper scores and rank diagnostics on the available observation support. The worked export contains five model members per case and heterogeneous missing coordinates. This evaluator is domain-independent: no geographic or atmospheric variables are …

Excerpt only; not a complete executable task specification. Task ID task_f1aa48615d644c7f · version 1. Selection status: not fully recorded.

Results by model and effort

This exact task version only. Every rate is passes / valid runs with a Wilson 95% interval; n≤2 remains counts only. Macro aggregation does not apply within a single task. Baselines are summarized in the quality gates, not ranked. A passed no-op resistance check means that doing nothing did not solve the task.

Current evidence

Model / effort	Verifier result [95% Wilson]	Diagnostic labels / valid	HARNESS_ERROR · excluded	Outcome classes

Legacy evidence

Model / effort	Verifier result [95% Wilson]	Diagnostic labels / valid	HARNESS_ERROR · excluded	Outcome classes

Every recorded run

10 recorded trials, including controls. Diagnostic labels do not replace verifier reward. Labels and quality checks are source declarations, not independently attested here. Internal evidence remains private; a missing public URL is shown explicitly. Records with invalid or absent rewards are not scored.

Run / model	Date / source	Reward / eligibility	Diagnostic class / source	Resources	Evidence
`trial_1886190d8adb48fa` oracle@@	Oct 21, 2026 console	No reward · excludedno_reward	No diagnostic label No diagnostic source	Tokens: — Turns: — Cost: —	Not publicly available
`trial_f02bc74fc0b14a7a` nop@@	Oct 21, 2026 console	No reward · excludedno_reward	No diagnostic label No diagnostic source	Tokens: — Turns: — Cost: —	Not publicly available
`trial_24e7df19569948de` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_30b2db4d666247f2` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_53b3d46296a04d2e` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_5dca73e33a014a7b` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_7510d079762148b5` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_a5300c1cd0e34f58` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_a64a7fab6ae14822` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available
`trial_b5bc53522c51414c` tencent/hy4-preview@@	Oct 21, 2026 console	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: — Turns: — Cost: —	Not publicly available